324 computer-programmer-"https:"-"U"-"UCL" "https:" "https:" "https:" "https:" "I.E" research jobs in Australia
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for Excellence in Antarctic Science (ACEAS), on Matt.King@utas.edu.au or 0362261974. Please visit https://www.utas.edu.au/jobs/applying for our guide to applying and details on the recruitment process. For
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on https://dfco2.org.au/research/ To be successful in this position, you will have: PhD in civil/mechanical/engineering or applied mathematics with research area related to theory or methods of reliability
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contact information - https://www.rmit.edu.au/careers. We are a Circle Back Initiative Employer – we commit to respond to every applicant.
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Health Multidisciplinary Training (RHMT) Program and JCU priorities. You will: Lead and grow a high-impact rural and remote health research program Secure competitive research funding and deliver high
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using available software packages (i.e., IMARIS, FIJI/ImageJ). Presentation of data in Adobe Illustrator for publication purposes. Maintain experimental record keeping of projects. Develop experimental
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 2 hours ago
of Prof. Robert Mahony with the opportunity to travel to both the other project nodes. The candidate will be integral to all aspects of the research program in this grant including direct research, student
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Fellows to join a major program (>$20M) funded by the Advanced Research Projects Agency for Health (ARPA-H). This ambitious program focuses on lymphatic pathophysiology and the development of innovative
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underpinning a new national screening program for type 1 diabetes in children Academic Level A from Base from $89,831p. a (Pro Rata) and Level B Base Salary from $127,436 p.a. (pro‑rata) + 17% superannuation
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. • leading a program of collaborative research examining skin cancer prevention and early detection in Aboriginal and Torres Strait Islander peoples. This could include describing the epidemiology, incidence
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Future Fund–supported program (2026–2030) to reduce addiction, self-harm, and mental ill health. The project integrates 20 years of binational cohort and cross-sectional data with administrative datasets