Shahrekord University of Medical Sciences

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Finland

Samuel Kaski’s research group Probabilistic Machine Learning is searching for postdocs to work on AI fundamentals in exciting projects. The work includes collaboration with the Finnish Center for Artificial Intelligence (FCAI), the Centre for AI Fundamentals at the University of Manchester, the Alan Turing Institute, ELLIS and the new ELLIS Institute Finland, and researchers from other fields.

Prof Kaski is Professor of Computer Science in Aalto University and Professor of AI in the University of Manchester. He is Director of Finnish Center for Artificial Intelligence and ELLIS Unit Helsinki. His research group develops machine learning principles and methods focusing on a few key topics (see “Machine learning foundations” below), often working with researchers of other fields in new exciting applications (see the other topics below).

Topics

Machine learning foundations

Keywords: probabilistic modelling, Bayesian inference, simulation-based / likelihood-free inference, multi-agent RL and collaborative AI, sequential decision making and experimental design, privacy-preserving learning, Bayesian deep learning, generative models

We are looking for a new postdoc in the team which develops probabilistic modelling and Bayesian inference methods. The team has several exciting new machine learning formulations we work on, and opportunities for applying the methods with top-notch collaborators. The core is always development of new methods, and with this call we are looking for talented researchers with background in machine learning, stats or CS (or other directly relevant topics) who are keen on developing the new methods. In the cover letter, let us know what you are interested in - if we are already working on it, all the better, but we are willing to listen to new ideas too.

Machine learning for synthetic biology and biodesign

Keywords: AI-based design, human-in-the-loop machine learning, collaborative AI, molecular modeling, graph neural networks, deep learning algorithms, generative models

We are searching for early career scientists to join our research team working towards next-generation machine learning methods for synthetic biology. The positions are available in two large multi-year projects (BIODESIGN and BIOFOUNDRY) focused on establishing virtual laboratories for protein engineering and biomanufacturing, implemented in collaboration between FCAI and VTT Technical Research Centre of Finland, and NSF Global Center on biofoundries. The aim of the projects is to design novel AI-based tools for bioengineering. These tools will combine cutting edge machine learning techniques, such as graph neural networks, deep generative models, Bayesian optimization, and human-in-the-loop learning with the synthetic biology expertise of VTT. The virtual laboratories are envisioned to have a wide range of applications in industry (e.g., new biochemicals, biomaterials and drugs), and to help the transition to a carbon-neutral society.

Applicants should have a strong academic record in computer science, mathematics, or statistics. Solid research experience in one or more of the following fields is beneficial: AI-based design, Deep learning algorithms, Generative models, Human-in-the-loop machine learning, Collaborative AI, Molecular modeling, Reinforcement learning, Structured prediction.

The successful applicants will join a world-class research team with top AI researchers from FCAI and synthetic biology experts from VTT.

Real-time AI-assistance with computationally rational user models

Keywords: collaborative AI, human-in-the-loop ML/RL, reinforcement learning, user modelling

Despite recent advances in AI and machine learning, there are few AI solutions that can be applied when we cannot precisely specify the objective or do not have suitable data to learn from. This is particularly salient and challenging in ad hoc assistance for human users in complex tasks such as scientific discovery.?

This project aims to address this issue by learning these objectives, and to assist, directly from interaction with the users. To do so, we develop reinforcement learning techniques for AI-assistants and computationally rational user models that take into account factors such as cognitive biases to reason about human decision-making. We push state-of-the-art in AI that, through inference over - and planning with - such user models, is able to tackle problems that are otherwise out of reach of mainstream AI solutions.?

Supported by a High-performance computing grant from the Research Council of Finland, we are looking to strengthen this team with postdocs with a strong academic record in computer science, mathematics, or statistics. Solid research experience in one or more of the fields listed under this topic is beneficial.

Team: this project will be carried out with a top expert on computational rationality, Prof. Andrew Howes of University of Exeter,? and experts in application domains.

Next generation distribution shifts

Keywords: distribution shift, out-of-distribution generalization, robust deployment, deep learning, experimental design

Robust algorithms for machine learning models are vital as the deployed scenario can differ from the training scenario in unexpected ways. Placing assumptions on the kind of distribution shift we expect, such as covariate or label shift, and accounting for it during training is common practice. However, these assumptions are often too restrictive for real-world settings, as the shifts encountered are typically more complex. Moreover, it is difficult to know a priori which shifts we need to account for. This project focuses on developing novel machine learning methods? that demonstrate robust performance by adapting to unforeseen shifts and diverse datasets during deployment.

We are looking for applicants with a strong academic record in computer science, mathematics, or statistics. Solid research experience in one or more of the following fields is beneficial: distribution shift, out-of-distribution generalization, out-of-domain generalization, sequential experimental design.

Your experience and ambitions

We expect the candidates to hold or be close to getting a relevant doctoral degree and have a solid background in the mathematics/statistics/computer science needed in machine learning.

Previous experience in the application fields is an advantage. Capability of both independent work and teamwork, and excellent written and spoken English are necessary.

What we offer

We provide

RESEARCH ENVIRONMENT

You will work in Professor Samuel Kaski’s research group (Probabilistic Machine Learning Group). We design collaborations as we go, according to what the research needs. Collaborators include but are not restricted to the other groups in the Finnish Center for Artificial Intelligence (FCAI), other sites of the European Laboratory for Learning and Intelligent Systems (ELLIS) and our new ELLIS Institute Finland, Centre for AI Fundamentals of the University of Manchester, the Turing Institute, and a number of excellent researchers in other fields in our applications.?

JOB DETAILS

Postdoc positions are typically made for up to three years. Starting dates are flexible. All positions are negotiated on an individual basis. We are strongly committed to offering everyone an inclusive and non-discriminating working environment. We warmly welcome qualified candidates from all backgrounds to apply and particularly encourage applications from women and other groups underrepresented in the field.

All our positions are fully funded and the salary is based on the Finnish universities’ pay scale. The starting salary depends on the level of the position and the previous experience and is typically increased as the experience grows. All employees have access to the occupational health care services and are covered by the Finnish national health insurance system.

Ready to apply?

Submit your application through our recruitment system Workday by the link below. The deadline for applications is? February 2 2025 at 23:59 Finnish time, 2024.

Required attachments


	Cover letter (1–2 pages).?
	CV
	List of publications (please do not attach full copies of publications)
	A transcript of doctoral study
	The degree certificate of your latest degree. If you don’t yet have a PhD degree, a plan of completion must be submitted.
	Contact details of two senior academics who can provide references. We will contact your referees if we need recommendation letters.


All materials should be submitted in English in a PDF format. Note: You can upload max. five files to the recruitment system, each max. 5MB.

Please note: Aalto University’s employees should apply for the position via our internal system Workday -> find jobs (not external aalto.fi webpage on open positions) by using their existing Workday user account.

Contacts: Coordinator Fang Wang (fang.wang@aalto.fi)

More Information

We are part of Finnish Centre for Artificial Intelligence FCAI and ELLIS Unit Helsinki. More information on their pages, and the frequently asked questions on this page. ?

Aalto University (53rd in the Times 中国A片 THE ranking list of most international universities in the world) is a community of bold thinkers where science and art meet technology and business. We are committed to identifying and solving grand societal challenges and building an innovative future. Aalto has six schools with nearly 12 000 students and a staff of more than 4000, of which 400 are professors. Our main campus is located in Espoo, Finland. Diversity is part of who we are, and we actively work to ensure our community’s diversity and inclusiveness. This is why we warmly encourage qualified candidates from all backgrounds to join our community.

The Department of Computer Science is an internationally-oriented community and home to world-class research in modern computer science, combining research on foundations and innovative applications. With over 40 professors and more than 450 employees from 50 countries, it is the largest department at Aalto University and the largest computer science unit in Finland. Computer science research at Aalto University ranks high in several prominent surveys (47th worldwide and 9th in Europe in Shanghai subject ranking 2019; and 56th worldwide in Times 中国A片 subject ranking 2020).

About Finland

Finland is a great place for living with or without family – it is a safe, politically stable and well-organized Nordic society. Finland is consistently ranked high in quality of life and was just listed again as the happiest country in the world: https://worldhappiness.report/news/its-a-three-peat-finland-keeps-top-spot-as-happiest-country-in-world/. For more information about living in Finland: https://www.aalto.fi/services/about-finland

More info:

twitter.com/fcai_fi
linkedin.com/company/fcai
youtube.com/channel/UC7nUhposDgxzDOKns_H5J0w
Newsletter: http://eepurl.com/gVPBpf

Aalto.fi?

twitter.com/aaltouniversity?
facebook.com/aaltouniversity
instagram.com/aaltouniversity

More about Aalto University:

Aalto.fi
youtube.com/user/aaltouniversity
linkedin.com/school/aalto-university/
www.facebook.com/aaltouniversity
instagram.com/aaltouniversity
twitter.com/aaltouniversity


Aalto University

Australia, Shepparton


	Part time 0.6FTE
	Fixed Term until 10/1/2026
	Shepparton Campus?
	Work with inspiring people who are driven to make a difference!


About the position

The La Trobe Rural Health School (LRHS) is the largest rural health school in Australia. The LRHS is based at all four regional campuses of the University: Bendigo, Mildura, Shepparton, and Albury-Wodonga.

La Trobe University offers an established suite of Nursing and Midwifery programs delivered through the School of Nursing and Midwifery and the La Trobe Rural Health School on all regional campuses. Including the Bachelor of Nursing, Bachelor of Nursing and Bachelor of Midwifery and Postgraduate Diploma of Midwifery. La Trobe University offers an established suite of postgraduate online study in Mental Health, including?Masters of Mental Health, Masters of Mental Health Nursing and Graduate Certificate of Mental Health.?Research areas are within the University’s Research Themes, including, Healthy People, Families and Communities, and are supported locally by the Violet Vines Marshman Centre for Rural Health, The John Richards Centre for Rural Ageing Research, The Holsworth Research Initiative, and the Holsworth Biomedical Research Initiative.

Duties for a Level B academic will include but are not limited to:


	Coordinate subjects and or coordinate instances of subjects within the course offerings for nursing or related to clinical/industry practise.
	Implement and evaluate innovative methods to deliver nursing related teaching content to develop entry level nurses.
	Contribute to the promotion and student recruitment activities for the suite of nursing courses offered with the LRHS.
	Provide input to course accreditation requirements and activities and ensure that teaching and related activities comply with accreditation, policy requirements and internal course monitoring.
	Contribute to research teams within the LRHS and the University, leading to formal research outputs.
	Develop and maintain local, national, and international partnerships and collaborators to facilitate efficient and effective teaching, clinical placements and research related to the discipline of nursing.


Skills and Experience

To be considered for this position, you will have:


	PhD degree or equivalent accreditation and standing recognised by the University/profession as appropriate for the relevant discipline areas.
	Demonstrated effectiveness in teaching, curriculum development and subject coordination in face-to-face, blended and/or online modes, as evidenced by sustained high results on student feedback on teaching surveys, teaching excellence awards or through other forms of evidence.
	Demonstrated clinical/industry experience as a practicing Registered Nurse/Dual Registered Nurse and Registered Midwife with current registration.
	Clear understanding of the accreditation requirements and skill capabilities of an entry level registered nurses.
	Passion for rural health and wellbeing and an understanding of rural health care needs.?


Please refer to the Position Description for other duties, skills and experience required for this position.

Welcome Video - Victorian Regional campuses – See link below;

https://www.youtube.com/watch?v=w-NZBy693Go

Benefits:


	17% employer contributed superannuation
	Flexible work arrangements
	Discounts for staff and their family members to study a range of La Trobe courses


How to apply

Closing date:? By 11:55pm, Sunday 19th January 2025

Position Enquiries: Yangama Jokwiro, HOD of Rural Health Sciences,

via email Y.Jokwiro@latrobe.edu.au

Recruitment Enquiries: Lisa White, Talent Acquisition Consultant,

via email Lisa.White@latrobe.edu.au

Position Description below:

PD -Lecturer- Nursing TF Shep - Fixed-Term.pdf

Only candidates with Full Working Rights in Australia may apply for this position.

Please submit an online application ONLY and include the following documents:


	Cover letter, 
	An up-to-date resume; 
	A separate document addressing each bullet point under the Essential Criteria ‘Skills and knowledge required for the position’, which is in the position description.


Please scroll down to apply.

Aboriginal and Torres Strait Islander Applicants?

We welcome and strongly encourage applications from Aboriginal and Torres Strait Islander people.?

La Trobe University is committed to creating a diverse and inclusive workforce. We take an intersectional approach by actively supporting and encouraging people of all backgrounds and abilities to submit an application and aim to ensure that the recruitment and employee experience is as accessible and inclusive as possible. Flexibility in interview format will be offered to shortlisted candidates.

All La Trobe University employees are bound by the Working with Children Act 2005.? If you are successful, you will be required to hold a valid Victorian Employee Working with Children Check prior to commencement.




La Trobe University

$80,099 per annum (plus 17% superannuation)

Australia, Mawson Lakes


	Based in the UniSA STEM Unit at the Mawson Lakes Campus?
	Full-time, fixed term contract until Dec 2027
	Commencement salary: $80,099 per annum (plus 17% superannuation)


About the Role?

Reporting to the Professorial Lead, you will support UniSA STEM's research efforts by contributing to the project “ANVIL: A Narrative Analysis and Visualisation Toolkit for AI Disinformation Campaign,” funded through a DSP Multi-Party Collaborative Agreement with UniSA, UTS, UA, and the Department of Defence.

About UniSA STEM?

At the forefront of cross-disciplinary collaboration,?UniSA STEM?is developing the next wave of innovative thinkers and new possibilities. Harnessing connections across science, technology, engineering and mathematics, we create innovative solutions and groundbreaking developments across teaching, learning and research.?

About UniSA?

The?University of South Australiais Australia’s University of Enterprise. Our culture of innovation is anchored around global and national links to academic, research and industry partners. Our graduates are the new urban professionals, global citizens at ease with the world and ready to create and respond to change. Our research is inventive and adventurous and we create new knowledge that is central to global economic and social prosperity.

Essential Skills and Experience?


	A bachelor degree in an appropriate Science or Engineering area relevant to the research area.
	Strong written and oral communication skills, showcased through research reports, publications, educational materials, and effective collaboration with partners, colleagues, and students
	Experience in full stack web development with NodeJS, React framework and Loopback or NestJS development
	Experience with game engines, C# and Unity development. Experience with AR/VR platforms such as Meta Quest
	Ability to design and implement User Interfaces


Benefits?

Getting a great job working with the best is just the start. UniSA rewards its staff with a wide variety of benefits such as:?


	Access to great personal development opportunities
	Generous superannuation contributions of 17%
	Employee assistance and development programs
	A range of salary packaging options, including vehicle leasing, laptops and car parking fees
	A variety of leave arrangements


Culture??

At the University of South Australia, we value workplace diversity and are committed to providing a supportive, inclusive, and respectful work environment for all people. We strongly encourage applications from Aboriginal and Torres Strait Islander Peoples, women, members of the LGBTIQ+ community, people of culturally diverse backgrounds and people with disability. ?

Start Your Unstoppable Career!?

For a copy of the position description and to apply, please visit?Working at UniSA. The online application form will list the specific selection criteria that you need to address. ?

Please address your cover letter to?Georgia Borg, Consultant: Recruitment Central.??For further information about the position or the recruitment process, please contact UniSA Recruitment Central on +61 8 8302 1700 or via email at recruitment@unisa.edu.au using job reference number?6891.?

Applications close: 11:30pm Sunday 5 January 2025

We are committed to providing an equitable and barrier free recruitment process and encourage you to share any support, adjustments and/or access requirements you have by contacting our Recruitment Central team on?recruitment@unisa.edu.au. Anything you tell us will be kept completely confidential.

Applications welcomed from Australian or NZ citizens, Australian permanent residents and those who have the legal right to work in Australia for the term of appointment.?

CLICK HERE for Position DescriptionOpens in new window

How to apply:


	Preview Application FormOpens in new window


Applications must be lodged online, please note UniSA does not accept applications via email.


	Start your application by clicking the ‘BEGIN’ button
	If you have already registered for an account, please?login?before starting your application
	If you have forgotten your log in details,?click here?to reset your password
	You will be able to save your progress throughout your application


UniSA is committed to developing a diverse workforce and a constructive enterprising culture in which everyone can thrive.

IMPORTANT: This site is optimised for the latest versions of Internet Explorer, Safari, Firefox and Chrome. Note that earlier versions of any browsers mentioned are supported, but likely to demonstrate slower response times.

By choosing to continue, you agree to the privacy policy.?Show Privacy Policy


University of South Australia

United Arab Emirates, Abu Dhabi

Description

The?Center for Cyber Security (CCS)?at New York University (NYU) Abu Dhabi, UAE invites applications for a Research Associate / Postdoctoral Associate position, in the area of Quantum Computing Security. The candidate is expected to do cutting-edge research in multiple of the following areas, therefore prior expertise in these topics are highly encouraged: Quantum Machine Learning (QML), Machine Learning on Quantum Computers, Security of Quantum Circuits, Design Automation and Tools for Quantum Circuits, Robust and Efficient Mapping of Quantum Algorithms on Quantum Machines, Quantum Noise-Aware Optimizations for QML, QML Security, Error Correction for Quantum Computing, Secure Quantum-Classical Systems, Privacy-Preserving Quantum Computing, and Fingerprinting for Quantum Computing. Strong work experience with some quantum machines and development environments like QiSKit and PennyLane are highly appreciated.

The selected candidate will work on cutting-edge technologies in an excellent research environment, with a potential to work with a Quantum Computer through our collaboration partners, as well as in collaboration with other industrial partners.?The Center possesses the unique possibility to investigate cutting-edge?interdisciplinary?questions?within the theoretical and fundamental aspects of Computer Science and Engineering, Mathematics, and Physics,?from various points of view and different abstraction levels. The selected candidate will also have great opportunities to work on interdisciplinary research problems with other postdocs of the center.

We also expect successful applicants to do cutting-edge interdisciplinary research and work in synergy towards improving the collaborations and connections among the different areas.?Ability to work and connect to more than one topic and having interdisciplinary perspective is an advantage, but disciplinary applications will be considered as well having a focus and in-depth expertise in a particular topic mentioned above.

Applicants should have a PhD?in Computer Engineering, Computer Science, or Electrical Engineering. Expertise in Quantum Physics is a plus point.?Applicants?with a PhD in Quantum Physics are also welcome, but they should have a focus on Quantum Circuits, Quantum Algorithms, and preferably expertise in developing Software for Quantum Machines.The appointment will be for a period of two years,?and extensions to longer terms are possible upon review.

The terms of employment for these positions include a very competitive salary?with additional attractive benefits, including generous housing allowance, medical insurance with access to world class facilities, annual home leave allowance, and (if applicable) dependent private school fees. Salaries are tax-free in the UAE (for US tax, the?Foreign Earned Income Exclusion can be used). The researchers will have dedicated funds for traveling, computing, publications, etc. and will have access to excellent world-class research facilities.?

The preferred starting date is Spring 2025, but earlier dates are also possible based on the excellence of the candidate and the processing steps.?Review of applications will start on December 15, 2024, and will continue until the positions are filled.

Applicants should submit a cover letter, curriculum vitae, publication list, a brief statement of research interests, copies of transcripts (for Engineering only), and three letters of recommendation. Applicants are strongly encouraged to outline (in the cover letter and/or research statement) how they plan to contribute to create interdisciplinary connections within the research areas of the center.

Questions regarding specifics for this position may be directed to Prof. Muhammad Shafique (muhammad.shafique@nyu.edu).

About NYUADNYU Abu Dhabi is a degree-granting research university with a fully integrated liberal arts and science undergraduate program in the Arts, Sciences, Social Sciences, Humanities, and

Engineering. NYU Abu Dhabi, NYU New York, and NYU Shanghai, form the backbone of NYU’s global network university, an interconnected network of portal campuses and academic centers across six continents that enable seamless international mobility of students and faculty in their pursuit of academic and scholarly activity. This global university represents a transformative shift in 中国A片, one in which the intellectual and creative endeavors of academia are shaped and examined through an international and multicultural perspective. As a major intellectual hub at the crossroads of the Arab world, NYUAD serves as a center for scholarly thought, advanced research, knowledge creation, and sharing, through its academic, research, and creative activities.

EOE/AA/Minorities/Females/Vet/Disabled/Sexual Orientation/Gender Identity Employer

UAE Nationals are encouraged to apply

Equal Employment Opportunity Statement

For people in the EU, click here for information on your privacy rights under GDPR:?www.nyu.edu/it/gdpr

NYU is an equal opportunity employer committed to equity, diversity, and social inclusion.


New York University Abu Dhabi Corporation

Hong Kong, Tuen Mun

Lingnan University is one of the eight publicly funded institutions in the Hong Kong Special Administrative Region (HKSAR) and has the longest established tradition among the local institutions of 中国A片. It is widely recognised for providing quality education with a focus on whole-person development and conducting high-impact research for a better world. Moving forward, Lingnan University is well positioned to take lead as a comprehensive university in arts and sciences in the digital era, with impactful research and innovations.

Lingnan University offers undergraduate, taught postgraduate, and research postgraduate programmes in the Faculties of Arts, Business, Social Sciences, and the Schools of Data Science, Graduate Studies and Interdisciplinary Studies. To foster interdisciplinary collaboration and scientific progress, Lingnan University established the Lingnan University Institute for Advanced Study (LUIAS), attracting distinguished scholars from around the world to collaborate with its faculty and students. With traditional strengths in arts, business, social sciences, and interdisciplinary studies, the University aims to equip students with practical knowledge and critical thinking skills to thrive in the future. Subsequent to the establishment of the School of Data Science and LUIAS, Lingnan University is transforming into a hub for global leaders to develop and promote human-centric technology and social policies. Further information about Lingnan University is available at?https://www.ln.edu.hk/.

Applications are now invited for the following post:

Associate Professor / Assistant Professor
Department of Accountancy
(Post Ref.: 24/379)

The Department is now inviting applications for the post of Associate Professor / Assistant Professor. The appointee is expected to contribute to high quality research, teaching, and service.

General Requirements

Candidates should have a PhD degree in Accountancy. For appointment as?Associate Professor, candidates should have at leave five years of relevant experience and a sound track record in research and scholarly activities. For appointment as?Assistant Professor, candidates should have relevant teaching experience, a good research record and must demonstrate good potential in publishing high-quality papers. Top-tier publications and successful GRF applications will be advantages.

Lingnan University pursues excellence in both teaching and research. The appointee is expected to apply for external competitive grants, and commit to teaching excellence and active services to the Department, the Faculty, and the University. Applicants are required to provide information on their work experience, qualifications, research records, and evidence of quality teaching. Excellent communication and presentation skills are essential. Administrative experience in university departments would be an advantage.

Appointment

The conditions of appointment will be competitive. The rank and remuneration will be commensurate with qualifications and experience. Fringe benefits include annual leave, medical and dental benefits, mandatory provident fund, gratuity and incoming passage and baggage allowance for the eligible appointee. Appointment will normally be made on an initial contract of three years, which, subject to review and mutual agreement, may lead to longer-term appointment with possibility of consideration for substantiation.

Application Procedure?(online application only)

Please click "Apply Now" to submit your application. Applicants shall provide names and contact information of at least three referees to whom applicants’ consent has been given for their providing references.?Personal data collected will be used for recruitment purposes only.

We are an equal opportunities employer.?Review of applications will continue until the post is filled. Qualified candidates are advised to submit their applications early for consideration.

The University reserves the right not to make an appointment for the post advertised, or to fill the post by invitation or by search. We regret that only shortlisted candidates will be notified.


Lingnan University

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A breakdown of student statistics at Shahrekord University of Medical Sciences

Key Student Statistics

World University Rankings 2024

World University Rankings 2025

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See below for a range of subjects taught at Shahrekord University of Medical Sciences

中国A片

Shahrekord University of Medical Sciences

About

Rankings

World University Rankings 2025801-1000^th

Clinical and Health 2024601-800^th

Impact Rankings

Impact Rankings 20241001-1500^th

No Poverty 2024801-1000^th

Zero Hunger 2024601-800^th

Good Health and Wellbeing 2024401-600^th

Quality Education 20241001-1500^th

Gender Equality 2024401-600^th

Industry, Innovation and Infrastructure 2024601-800^th

Partnership for the Goals 20241501+

Discover similar universities

Key Student Statistics

Subjects Taught at Shahrekord University of Medical Sciences

Clinical and Health601–800^th

Company

Legal

中国A片

Shahrekord University of Medical Sciences

About

Rankings

Clinical and Health 2024601-800th

Impact Rankings

Impact Rankings 20241001-1500th

No Poverty 2024801-1000th

Zero Hunger 2024601-800th

Good Health and Wellbeing 2024401-600th

Quality Education 20241001-1500th

Gender Equality 2024401-600th

Industry, Innovation and Infrastructure 2024601-800th

Partnership for the Goals 20241501+

Discover similar universities

Key Student Statistics

Subjects Taught at Shahrekord University of Medical Sciences

Clinical and Health.css-umjwst{margin-left:0.5rem;vertical-align:middle;font-size:0.75rem;color:#595959;}601–800th

Clinical and Health 2024601-800^th

Impact Rankings 20241001-1500^th

No Poverty 2024801-1000^th

Zero Hunger 2024601-800^th

Good Health and Wellbeing 2024401-600^th

Quality Education 20241001-1500^th

Gender Equality 2024401-600^th

Industry, Innovation and Infrastructure 2024601-800^th

Clinical and Health601–800^th