Reichman University

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Singapore

As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets that are relevant to industry demands while working on research projects in SIT.

The primary responsibility of this role is to deliver on an applied research project as a part of Infocomm Technology cluster at SIT. In this role, you will be part of the research team, working to develop and evaluate privacy-preserved Generative AI algorithms for generating synthetic Personal Identity Information (PII). This aims to overcome the issues raised by using real-world PII data.

Key Responsibilities:


	Participate in and manage the research project with the Principal Investigator (PI), Co-PI and the research team members to ensure all project deliverables are met.
	Design a Natural Language Processing algorithm for identifying Personal Identity Information data.
	Design and evaluate privacy preserved Generative AI-based algorithm for generating synthetic data.
	Validate integrated system functionality and performance.
	Help produce progress reports and technical papers on research work.
	Ensure compliance with Work, Safety and Health Regulations.
	Assist in project resource requirements and managing student projects.


Job Requirements:


	Have a PhD Degree in Computer Engineering/Computer Science/Electrical Engineering or equivalent.
	Have relevant research/industry experience in Machine Learning, AI and Privacy.
	An excellent team player who can cope with an agile and fast-paced environment.
	Good communication and interpersonal skills.
	Possess relevant hands-on experience in Python, Java, C++ etc. and corresponding development environments.??



Singapore Institute of Technology (SIT)

Australia, Adelaide


	Based in the UniSA Allied Health and Human Performance unit at the City West campus
	Part-time (0.8 FTE), fixed term contract until 15 January 2027
	Salary: $100,322 - $133,388 (pro rata) per annum (plus 17% superannuation)


About the Role

The Research Associate or Fellow will investigate the roles of human endogenous retrovirus (part of human genome sequences) on motor neuron disease. In this position, you will conduct research activities primarily through statistical genetic analysis of large-scale multi-omics data on motor neuron disease. This position will offer the opportunity to work at all levels of research from establishing research questions through to publishing high quality research outputs.

About UniSA

The?University of South Australia?is 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.

Allied Health and Human Performance

At?UniSA Allied Health and Human Performance, we shape community wellbeing by educating future health professionals, producing graduates who contribute to the future health workforce. We deliver solutions-based research that addresses global health needs, working with industry and the community to solve critical health challenges.?

Core Responsibilities


	Contribute to research planning by participating in sessions, offering ideas, reviewing literature, writing papers, and attending seminars
	Contribute to research execution by managing and analysing data, exploring new methods, seeking information from various sources, and assessing resource requirements
	Contribute to disseminating knowledge by drafting reports and papers, and attending meetings and conferences
	Contribute to the preparation and development of grant and tender applications, including undertaking power calculations, literature searchers, and other tasks as required
	Contribute to the supervision of Honours, Masters and PhD students, as required


Essential Skills and Experience??

Level ARAS?


	Postgraduate qualifications in a relevant field (e.g., quantitative genetics, statistics, bioinformatics, computer programming, epidemiology)
	Knowledge and understanding of statistical genetics and experience with the analysis of complex traits
	Experience in computer programming, including working with databases and handling large data files
	A developing research record demonstrated by publications, conference papers, and other research activities
	Strong verbal and written communication skills, with the ability to present information clearly to diverse?audiences and work collaboratively in a multidisciplinary team


Level BRF


	PhD in a relevant field (e.g., quantitative genetics, statistics, bioinformatics, computer programming, epidemiology) with postdoctoral research experience
	Demonstrated knowledge and extensive experience in statistical genetics and the analysis of complex traits
	Proficiency in computer programming, including database communication and handling large data files
	An evolving research record with publications, conference papers, and other research activities
	Strong verbal and written communication skills, with experience in presenting information to diverse audiences and working collaboratively in multidisciplinary teams, alongside high-level problem-solving and organizational abilities


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:


	Generous superannuation contributions of 17%
	Flexible working conditions
	Employee assistance and development programs
	A range of salary packaging options, including vehicle leasing, laptops and car parking fees
	Various on-site services available at our campuses which may include on-site gym membership


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?Laura Gomes, 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?6854.?

Applications close: 11:30pm?Sunday 12 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:a


	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.

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University of South Australia

United Arab Emirates, Abu Dhabi

Description

The Public Health Research Center (PHRC) at New York University Abu Dhabi seeks to recruit a talented, motivated and experienced Research Engineer with expertise in creating, developing, testing and maintaining high quality applications and in particular Laboratory Information Management Systems (LIMS). The role of the selected applicant will focus on supporting the Center’s mission by developing a comprehensive system allowing the adequate and effective management of samples and all its associated data. The PHRC aims to understand the basis of health outcomes and traits related to the most common non-communicable diseases in the UAE by investigating and integrating when possible epidemiological, clinical and genetic data.

The appointed applicant will be in charge of creating, developing, configuring and maintaining a LIMS system customized to the needs of the PHRC research projects including but not limited to sample and associated data inventories, development for rapid, efficient and automated data tracking and retrieval workflows. The successful candidate will also contribute to write documentation for the developed tools, pipelines/workflows, SOPs and resources available. The candidate will have to integrate into the existing team of scientists and participate and lead training sessions of the PHRC team when needed. The candidate must have excellent organizational and communication skills with a high level of proficiency in English and the ability to work effectively in a team as well as individually.

?REQUIRED QUALIFICATIONS


	Master’s degree in Computer science, Information Systems or equivalent;
	A minimum of 2 years of related working experience in LIMS environment development, or related environment
	Experience with validation procedures within a software development environment (user acceptance testing, issue tracking/reporting/testing etc.).
	A minimum of 3 years in SDLC (software development life cycle).
	Experience in both Windows and Linux OS.
	A minimum of 3 years’ experience in relational databases (e.g. MySQL) and developing front-end database interfaces.
	A minimum of 3 years’ experience in at least one of the following languages Perl/Python/Java/PHP.
	Experience in server administration and maintenance.


For consideration, applicants need to submit, through the Interfolio platform, a cover letter, curriculum vitae, transcript, research statement and three letters of reference, all in PDF format. If you have any further questions, please send an email to Dr. Youssef Idaghdour, at?yv8@nyu.edu??

The terms of employment are very competitive and include housing and educational subsidies for children. Applications will be accepted immediately and candidates will be considered until the position is filled.

About NYUAD

NYU 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

United Kingdom, Renfrew

Salary range:??32,296 - ?35,880 per annum?
FTE:?1.0
Term:?Open-ended
Closing Date:?19 January 2025
Location:?NMIS, Renfrew

The University of Strathclyde is a leading international technological institution and has a long history of working with industry to deliver strong business growth from access to research and innovation expertise. The latest major initiative continuing to deliver on this track record is through the National Manufacturing Institute Scotland (NMIS).

As a magnet for innovation in advanced manufacturing, the National Manufacturing Institute Scotland (NMIS) group of specialist R&D centres, supports manufacturing, engineering and associated tech businesses of all sizes, to thrive domestically and internationally through accelerating productivity, embracing new digital technologies and achieving net-zero targets.

We turn smart ideas into reality and deliver ground-breaking research.

Coming from diverse backgrounds and disciplines, our passionate team works alongside industry, academia, and the public sector to solve problems, train the workforce of the future and generate the creative ideas that will transform manufacturing.

Ultimately, we are growing the economy, developing a vibrant and skilled talent pool and helping create prosperous, sustainable communities.

NMIS seeks to appoint a Workshop Technician to support the operation of specialised equipment within its workshops. You will be primarily responsible for the set-up, operation and maintenance of machine shop CNC 5-Axis equipment used in relation to the delivery of industrial and academic research programmes.

To be considered for this role you will be educated to a minimum of HNC level or equivalent; or have relevant work experience in a similar role. You will have significant knowledge and expertise in multi axis CNC machining including: setting, programming and operation, and be able to interpret engineering drawings. You will have excellent troubleshooting skills, including a methodical approach to solving complex problems, with limited guidance. You will have an ability to work autonomously, prioritising and coordinating your own workload and making decisions with minimum supervision in order to meet project deadlines and you will have the ability to work as part of a multi-disciplinary team.

Whilst not essential for the role, applications are welcomed from candidates with experience of supporting production, and research and development manufacturing requirements.

For informal enquiries, please contact?Scott Munro,?Workshop Manager -?scott.munro@strath.ac.uk

Click here for full details.pdf


University of Strathclyde

Postdoctoral Associate/Research Scientist in the Division of Engineering (Civil and Urban Engineering) - Dr. Mohamed Moustafa 

Description

The Future-Generation of Resilient and Infrastructure Design Technology Hub (Future-GRID TecH) in the Division of Engineering at New York University Abu Dhabi, seeks to recruit one or more motivated post-doctoral associates (or research scientist for experienced candidates with 5 years of post-PhD experience). The candidates will work under the supervision of Future-GRID TecH director Dr. Mohamed Moustafa to carry out cutting-edge research in the broad area of future structures and resilient infrastructure systems with interest in applications of new and emerging technologies. Particular areas of interest include:


	advanced construction and reinforcement materials (UHPC, ECC, SMA)
	UHPC mix development, material characterization, modeling, and structural design
	structural 3D printing (metals, concrete, and composites)
	computational mechanics and structural topology optimization
	vision-based structural health monitoring
	autonomous and drone-based infrastructure inspection and vibration monitoring


Successful candidates must hold a PhD degree in Civil, Structural, Mechanical, or Material Engineering. Other related field such as Computer Science, Nuclear Engineering, and Material Science are also welcomed. Required qualifications include: strong communication and presentation skills; a track record in writing and publishing peer-reviewed journal publications; and previous or relevant experience in mentoring or supervising undergraduate student research or junior graduate students.

A formal training, education, or certification in a secondary area (beyond the main PhD focus) such as additive manufacturing, advanced/hybrid manufacturing, machine learning, artificial intelligence, computer vision, robotics, UAVs, computational fluid dynamics, etc. is a plus. Other preferred qualifications include: expertise in programming and coding (preferably using Python and C ) and GUI development; expertise in computational mechanics and finite element simulation and modeling; expertise in laboratory and multi-scale experimental testing at the material, component, and structural levels.??

The candidates will work in a multidisciplinary environment consisting of PhD-level scientists and undergraduate students, conduct high-quality “innovative and independent” experimental, analytical, and/or computational research, publish research work and results in scientific peer-reviewed journals and conferences, mentor undergraduate students, and participate in writing research grant proposals.

To be considered, all applicants must submit the following documents in PDF format via Interfolio:


	cover letter
	curriculum vitae with full publication list
	statement of research interests and plan
	three sample (recent and/or most relevant) journal publications
	contact details of two references


The terms of employment include a highly competitive salary, medical insurance, housing allowance, annual home-leave travel, and educational subsidies for children (if applicable). Applications will be accepted immediately and candidates will be considered until the positions are filled.

If you have any questions or require more information, please email:?mohamed.moustafa@nyu.edu

About NYUAD:

NYU 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.


中国A片

Reichman University

About

Rankings

World University Rankings 2025801-1000^th

Psychology 2024301-400^th

Social Sciences 2024601-800^th

Discover similar universities

Key Student Statistics

Subjects Taught at Reichman University

Social Sciences601–800^th

Psychology301–400^th

Company

Legal

中国A片

Reichman University

About

Rankings

Psychology 2024301-400th

Social Sciences 2024601-800th

Discover similar universities

Key Student Statistics

Subjects Taught at Reichman University

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

Psychology301–400th

Psychology 2024301-400^th

Social Sciences 2024601-800^th

Social Sciences601–800^th

Psychology301–400^th