Russian-Armenian University
About Russian-Armenian University
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Research Assistant (A)
Adelaide University
Australia, Adelaide
Adelaide University
Australia, Adelaide
Based in the College of Education, Behavioural and Social Sciences, Adelaide City Campus West Part-time (0.4FTE) and Full-time fixed term positions until 28 February 2028 Salary range: $81,293 - $109,307 per annum (plus 17% superannuation) At Adelaide University, we create the opportunities you need to achieve your ambitions – because when you thrive, we thrive. We are transforming education for contemporary learners and global citizens. Building on a proud legacy and shaped by bold ambition, it’s a place of excellence and equity, where our vibrant community of staff are united by our purpose to inspire Australia’s future change-makers and create a better tomorrow. Work that matters We are seeking a Research Assistant to join the team in the School of Psychology. This position is responsible for undertaking research related activities to support the research program led by the Pro Vice Chancellor: First Nations Education in Aboriginal and Torres Strait Islander social and emotional wellbeing, mental health, and the social determinants of health. The team Reporting to the Pro Vice Chancellor, First Nations Education, this role is based within the School of Psychology. A dynamic and supportive team environment enable opportunities for growth and development while contributing to meaningful and impactful research which promotes mental health and wellbeing for Aboriginal and Torres Strait Islander Peoples. The College of Education, Behavioural and Social Sciences is a driver for change, using analysis, communication and advocacy to meet the needs of our modern, connected and evolving world. Visit the AU website to learn more about the College of Education, Behavioural and Social Sciences | Adelaide University Our people Our people are guided by purpose, curiosity and a commitment to lifelong learning. We embrace authenticity, innovation and collaboration, and harness diverse thinking in our pursuit of excellence. This role suits someone who enjoys working in a dynamic environment with a variety of tasks to complete and enjoys working in multidisciplinary teams to maximise our collective achievements. You’ll engage with Aboriginal Peoples, colleagues, students, and industry partners to contribute to innovative research contributions across. Learn more about our people, what we stand for and what we offer at Careers at AU. Experience To join our community and thrive in this role, you will likely have the following skills and experience: Qualifications: Honours or Post Graduate Research Degree in a Behavioural, Social Science, Social Work, Education, Health, Policy or related discipline. Essential: Demonstrated understanding of the South Australian community sector and experience establishing and maintaining a network of contacts for collaborative activities relevant to Aboriginal community engagement. Demonstrated ability to develop and maintain culturally-responsive relationships with the Aboriginal community. Research, policy or practice experience in a related area. Demonstrated understanding of qualitative research methods and ability to undertake qualitative data analysis and strong skills in understanding and critiquing the quality of published research studies. Demonstrated research writing skills, including an ability to locate, evaluate, compile, and edit relevant literature and research data. Excellent initiative, problem solving, time management and organisational skills, including experience in priority setting, the ability to perform multiple tasks, to work productively with limited supervision and within a team environment, and to work to deadlines. Highly developed interpersonal and communication skills, with demonstrated ability to interact with a diversity of individuals both within and external to the University; and contribute to effective team processes and work in a collegial manner with other staff in the workplace. Demonstrated computing skills, particularly in the use of Microsoft office programs, statistical, qualitative, and bibliographic packages. Demonstrated understanding of and commitment to equity and social justice within a tertiary educational context. Desirable: Demonstrated experience in participatory research or co-design. Demonstrated understanding of quantitative research methods and ability to undertake quantitative data analysis. Our commitment to inclusion and diversity We are committed to fostering a culture of inclusion where diversity is celebrated and everyone feels respected and valued. Adelaide University is an equal opportunity employer, committed to creating a safe, inclusive, and equitable workplace where everyone can thrive. We strongly encourage applications from Aboriginal and Torres Strait Islander peoples, people with disability, and people of all ages, genders, cultural backgrounds, sexual orientations, and gender identities. We are committed to supporting flexible working arrangements and providing reasonable adjustments throughout the recruitment process. Launch your future with Adelaide University now. Applying is simple. Simply click on the Apply Now button and upload: your current CV a cover letter that tells us why you’re excited about the role The online application form will list the specific selection criteria that you need to address. Submit your application by 11:30pm, Thursday 2 July 2026 Please note that the role description is not attached to this advertisement as it is currently being finalised. For further information about this opportunity, please contact (quoting reference number 493163): Jessica Maslen Team Lead – Talent Acquisition People and Culture +61 8 8302 1700| careers.adelaideuniversity@adelaide.edu.au 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. Appointment is subject to a satisfactory National Police Check (NPC) being obtained and maintained. Pursuant to the Child Safety (Prohibited Persons) Act 2016 (the Act) and the Child Safety (Prohibited Persons) Regulations 2019 (the Regulations), this position has been deemed prescribed. This role will require the successful candidate to hold a current Working with Children Check.
Salary
$81,293 - $109,307 per annum (plus 17% superannuation)
Posted
12 Jun 2026
Post-Doctoral Associate in the Division of Engineering (Electrical and Computer Engineering)
New York University Abu Dhabi Corporation
United Arab Emirates, Abu Dhabi
New York University Abu Dhabi Corporation
United Arab Emirates, Abu Dhabi
Description The Clinical Artificial Intelligence Lab at NYU Abu Dhabi seeks to improve patient care by developing new machine learning methodologies that tackle unique computational problems in healthcare applications. We use large real-world complex datasets, including data extracted from electronic health records and medical images, for applications pertaining to patient diagnostics and prognostics. We are seeking a Postdoctoral Researcher to join the team and make significant contributions to the field. The researcher is expected to have (i) strong machine learning skills to improve model performance and robustness, and (ii) exemplary passion and motivation to pursue multidisciplinary research at the intersection of computing and healthcare. Methodologies of interest include: multi-modal learning, foundation models, including large language models, agentic AI, multi-agent AI systems, transfer learning, self-supervised learning, and federated learning. The Postdoctoral Researcher will be primarily based at NYU Abu Dhabi. The researcher will report directly to Dr. Farah Shamout and work in close collaboration with other researchers, PhD students, and undergraduate research assistants. The researcher will engage with our regular collaborators across the NYU campuses and local medical institutions in the UAE. Key Responsibilities Research Support the supervisor in developing and implementing the research agenda; Conduct high-quality and innovative research primarily focused on ML methodology development for healthcare; Generate new high-impact ideas based on gaps and limitations of the state-of-the-art (SOTA); Design and implement experiments to compare proposed work with SOTA baselines; Publish research findings in high-impact journals and conferences; Communicate and present research findings at international academic gatherings; Create, maintain, and document high-quality research code for reproducibility; Maintain good practice in managing and accessing sensitive medical datasets; Assist the supervisor in the preparation of grant applications (as appropriate); And collaborate with scientists within the NYU Global Network and in Abu Dhabi. Training & professional development* Attend trainings and workshops for career development; Mentor PhD students and undergraduate research assistants (as appropriate); Actively participate in events and committees at NYU Abu Dhabi, such as the Postdoctoral Council Steering Committee; Gain experience in applying for local research grants (subject to eligibility); And transition to independence to pursue a career of choosing following the appointment. * The researcher will create a personalized training and development plan with the supervisor. Minimum Qualifications Currently has or is in the process of completing a PhD, MD/PhD, DPhil or equivalent terminal degree from a recognized institution (no more than 5 years since completing the doctoral degree) Doctoral research in the area of machine learning and artificial intelligence Bachelor’s/ Master’s degree in computer science, mathematics, computer engineering, or relevant technical field First-author peer-reviewed published papers (or under review) Proficient programming experience in Python and libraries (e.g., Pytorch, TensorFlow) with several years of practice Experience in maintaining high-quality code on Github Experience in running and managing experiments using GPUs Ability to visualize experimental results and learning curves Effective inter-personal and team-building skills Self-motivated with an ability to work independently and in a team to get the work done Excellent communication skills (oral and written communication) Willingness to learn and confront new challenges Preferred Qualifications Doctoral research conducted in the area of machine learning for healthcare and related topics Deep knowledge of multi-modal learning, transfer learning, foundation models, and self-supervised learning. Experience in dealing with large medical datasets (e.g., electronic health records data or medical images) Ability to use high performance computing cluster For consideration, applicants need to submit a cover letter, curriculum vitae with full publication list, research statement (1-page), project proposal summary (1-page), a transcript or degree, and three letters of reference, all in PDF format. If you have any questions, please email Prof. Farah Shamout at farah.shamout@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 NYU Abu Dhab https://nyuad.nyu.edu/en/ NYU Abu Dhabi is the first comprehensive liberal arts and research campus in the Middle East to be operated abroad by a major American research university. Times Higher Education ranks NYU among the top 30 universities in the world, making NYU Abu Dhabi the highest-ranked university in the UAE and MENA region. NYU Abu Dhabi has integrated a highly selective undergraduate curriculum across the disciplines with a world center for advanced research and scholarship. The university enables its students in the sciences, engineering, social sciences, humanities, and arts to succeed in an increasingly interdependent world and advance cooperation and progress on humanity’s shared challenges. NYU Abu Dhabi’s high-achieving students have come from over 120 countries and speak over 100 languages. Together, NYU's campuses in New York, Abu Dhabi, and Shanghai form the backbone of a unique global university, giving faculty and students opportunities to experience varied learning environments and immersion in other cultures at one or more of the numerous study-abroad sites NYU maintains on six continents. NYUAD is committed to upholding a culture of non-discrimination, anti-harassment, dignity, and mutual respect; providing equal access and opportunity; and fostering academic excellence in learning, research, and teaching. Students are drawn from among the world’s best. They are bright, intellectually passionate, and committed to building a campus environment anchored in mutual respect, understanding, and care. The NYUAD undergraduate student body has garnered an impressive record of scholarships, graduate-school admissions, and other global honors. Graduate education is an area of growth for the University; the current graduate student population of over 100 students is expected to expand in the next decade as doctoral programs are developed. Working for NYUAD At NYUAD, we recognize that Abu Dhabi is more than where you work; it’s your home. In order for research staff to thrive, we offer a comprehensive benefits package. This starts with a generous relocation allowance; educational assistance for your dependents; access to health and wellness services; and more. NYUAD is committed to research staff success throughout the academic trajectory, providing support for ambitious and world-class research projects and innovative, interactive teaching approaches. Support for dual-career families is a priority. Visit our website for more information on benefits for you and your dependents. NYUAD is an equal-opportunity employer. We welcome applications from all qualified candidates and seek individuals who will contribute to the excellence and vibrancy of our academic community. Applications are welcome from all qualified candidates. In line with UAE regulations, Emirati candidates are encouraged to apply. Join NYU Abu Dhabi, an exceptional place for exceptional people. NYUAD values belonging and respect; such principles are fundamental to the university’s commitment to excellence. NYUAD is an equal-opportunity employer. We welcome applications from all qualified candidates and seek individuals who will contribute to our vibrant, multidisciplinary research and teaching community. Multidisciplinary research and exceptional teaching in a global campus community are hallmarks of the University’s mission. @WorkAtNYUAD
Salary
Competitive
Posted
11 Jun 2026
Facilities Assistant
University of Surrey
United Kingdom, Guildford
University of Surrey
United Kingdom, Guildford
The University of Surrey is a global community of ideas and people, dedicated to life-changing education and research. We are ambitious and have a bold vision of what we want to achieve - shaping ourselves into one of the best universities in the world, which we are achieving through the talents and endeavour of every employee. Our culture empowers people to achieve this aim and to collectively, and individually, make a real difference. The role We are looking for a proactive and highly organised Facilities Assistant to support the smooth day to day day operation of our Faculty buildings and facilities. Working as part of the Faculty Operations team within the Faculty of Health and Medical Sciences, you will help create a safe, functional, and welcoming environment that supports teaching, research, clinical activity, and professional services. This is a varied and hands on role. You will coordinate facilities enquiries, maintenance requests, repairs, and building access arrangements, while carrying out regular building inspections and supporting staff and room moves. Working closely with Estates & Facilities, IT Services, contractors, and other colleagues, you will help ensure operational issues are resolved quickly and effectively. You will also support procurement and administrative activities, operational projects, and space improvements across the Faculty. If you are organised, adaptable, enjoy solving problems, and take pride in delivering excellent customer service, this is an opportunity to make a real impact in a busy and dynamic environment. About you You will be an organised, dependable, and detail focused administrator with experience of working in a busy office environment. You will be confident managing competing priorities, working accurately to deadlines, and communicating effectively with a wide range of stakeholders. A collaborative approach and a professional, service focused attitude are essential, along with the ability to handle sensitive information with discretion. Strong IT skills and confidence in standard administrative systems are required. Experience of working within facilities support would be an advantage but is not essential, as would familiarity with higher education or a complex organisational environment. How to apply Please complete the application form and attach an up to date CV and cover letter explaining what has drawn you to this role. Applications without a CV will not be considered. Informal enquiries are welcome and can be directed to Adam Trish at a.trish@surrey.ac.uk. Please note the University of Surrey reserves the right to close this vacancy early or extend based on Volume and Calibre of applications. Further details Job Description
Salary
£28,031 to £31,236 per annum
Posted
12 Jun 2026
IT Customer Service Desk Officer
Liverpool John Moores University (LJMU)
United Kingdom, Liverpool
Liverpool John Moores University (LJMU)
United Kingdom, Liverpool
Liverpool John Moores University (LJMU) is a distinctive institution rooted in the Liverpool City Region with a global presence. Our students and staff are at the heart of the city and the communities we serve, and improving lives through education, research and support remains central to our purpose. IT Services is the University’s central IT department, providing essential support for teaching, learning and research. We are now looking for a customer-focused and enthusiastic professional to join our IT Helpdesk team as an IT Customer Service Desk Officer. In this role, you will be part of a dynamic frontline service supporting students and staff across the University with a wide range of IT-related queries. You will need excellent customer service skills, a personable and professional approach, and the ability to learn quickly in a fast-changing environment. In return, you will work alongside supportive colleagues in a collaborative team that is committed to delivering an excellent service. The role is part time (17.5 hours per week) and offered as part of a job-share arrangement, with some evening and weekend work required. In return, we offer an excellent benefits package including generous annual leave entitlement, pension scheme, induction, and development support as well as family-friendly policies. This is an exciting time to join the university as we deliver the LJMU Strategy 2030 and its vision of LJMU as an inclusive civic university transforming lives and futures, by placing students at the heart of everything we do. Find out more about working at LJMU here. If you feel that this is the role you have been looking for and your skills and experience can make a real difference at LJMU, we look forward to hearing from you. LJMU is an equal opportunities employer and welcomes applicants from all backgrounds and communities irrespective of age, transgender status, disability, gender, sexual orientation, ethnicity and religion or belief. All our appointments are made on merit. Please note all of our vacancies will be closed to applications at midnight on the advertised closing date, unless otherwise stated.
Salary
£32,080 - £37,694 pro rata per annum
Posted
12 Jun 2026
Research Engineer (Federated Causal Inference in Heterogeneous Data Environments) - UP
Singapore Institute of Technology (SIT)
Singapore
Singapore Institute of Technology (SIT)
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. This project focuses on federated causal inference in heterogeneous data environments, addressing the challenge of enabling trustworthy causal analysis across distributed datasets while preserving privacy. The successful candidate will be responsible for the end-to-end investigation of novel federated learning strategies for causal inference. The role will bridge rigorous theoretical work with hands-on algorithm design and development on real-world datasets. The core responsibility is to build and validate federated causal inference algorithms through simulations and live demonstrations. Key Responsibilities Participate in and manage the research project with Principal Investigator (PI) to ensure all project deliverables are met. Derivation of novel performance metrics for federated causal inference algorithms. Analysis of causal inference models in federated settings using synthetic and real-world datasets. Design and development of novel federated causal inference algorithms and associated software APIs. Validation of algorithms via simulations and live demonstrations. Job Requirements A Master's degree or higher in Computer Engineering, Computer Science, Data Science, Statistics, or equivalent. Strong theoretical background in statistics and machine learning. Knowledge of the basics of federated learning and causal inference is highly encouraged. Proven track record in research and development of machine learning algorithms. Proficiency in algorithm development using Python and ML frameworks such as PyTorch or TensorFlow. Key Competencies Work independently, as well as within a team, to ensure proper operation and maintenance of equipment. Able to build and maintain strong working relationships with people within and external to the university. Self-directed learner who believes in continuous learning and development. Proficient in technical writing and presentation. Possess strong analytical and critical thinking skills.
Salary
Competitive
Posted
11 Jun 2026
Subjects Taught at Russian-Armenian University
See below for a range of subjects taught at Russian-Armenian University
Arts and Humanities
- History, Philosophy and Theology
- Languages, Literature and Linguistics
Business and Economics
- Accounting and Finance
- Business and Management
- Economics and Econometrics
Law
- Law
Life Sciences
- Biological Sciences
Physical Sciences
- Chemistry
- Mathematics and Statistics
- Physics and Astronomy
Social Sciences
- Communication and Media Studies
- Politics and International Studies