341 computer-programmer-"https:"-"UCL" "https:" "https:" "https:" "https:" "https:" "Dr" "FEUP" research jobs in Australia
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-Controlled Mental Health and AOD Services’ (https://www.latrobe.edu.au/arcshs/work/optimise-plus ). The Optimise+ project is a research study designed to build on the best parts of LGBTQ+ community-controlled
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industry project, within our established research program in applied AI. You will work on shaping, developing, and evaluating a cutting-edge AI platform that enhances clinical decision-making. The research
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analytics More information can be found at https://smi.uq.edu.au/mishc About This Opportunity This is an exciting opportunity for a Professorial Research Fellow to work within the Minerals Industry Safety and
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within the Faculty of Engineering, currently with over 1500 students and 43 academic staff, with an operating budget of around $18 million. For further information about our School, please visit - https
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Australia’s Food and Beverage Accelerator’s (FaBA) Program : Based in the Australian Institute for Bioengineering and Nanotechnology (AIBN) Full-time, 100% FTE Fixed-term position for 20 months
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colleagues, and uphold university values. Academic Level B (in addition to Level A Research Responsibilities): Develop an independent and/or collaborative research program to achieve national recognition and
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the success profile. For further information about this position, please contact Jan Radford, Professor in General Practice, j.radford@utas.edu.au or on 0419 885 285. Please visit https://www.utas.edu.au/jobs
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alloys produced using additive manufacturing technologies. You will work close with Dr Qiyang Tan and Prof Mingxing Zhang and contribute to alloy development using computational materials science, applying
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Accelerator: https://www.snowmedical.org.au/vision-accelerator The successful candidate will join the Sivyer Laboratory, led by Assoc. Prof. Benjamin Sivyer, which focuses on understanding physiological and
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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