128 computer-programmer-"https:"-"Inserm"-"https:"-"https:"-"https:"-"https:"-"Dr" Fellowship positions in Australia
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deliver on the University’s ambitious strategic plan, we are seeking academics and professionals who are passionate about improving health outcomes and/or health equity in the local, national and global
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government to address research and training challenges in critical minerals. About the opportunity Plan, implement and coordinate workflows according to project requirements and timelines, including
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(Academic Level A) or Research Fellow (Academic Level B) to join our dynamic AI in Healthcare team, part of the cutting-edge Health research program (HERA). In this position, you will advance your expertise
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develops innovative laboratory and computational methods for eDNA collection, processing, and analysis, and creates a comprehensive marine vertebrate genome reference library. Equipped with state-of-the-art
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evaluate methods via experiments, benchmarking, simulation and/or real‑world data. The successful candidate will have: A PhD in Statistics, Data Science, Computer Science, Mathematics, or a related field
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biology and mammalian cell culture techniques to join our multidisciplinary team. Experience with RNA technologies, genome editing, microscopy, flow cytometry, and computational tools, including AI, is
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Full time - 36.25 hours per week Fixed term to 20 January 2027 Academic Level C - $133,495 - $153,251 Lead innovative pre-clinical and clinical research that transforms the future of vascular care in the Tropics. Thrive in a collaborative, multidisciplinary research environment. Shape the next...
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to Reconciliation and Indigenous Employment Flinders University is proud to be an organisation that is committed to our Reconciliation Action Plan and Indigenous Workforce Strategy. Our vision is to be a preferred
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government to address research and training challenges in critical minerals. About the opportunity Plan, implement and coordinate workflows according to project requirements and timelines, including
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. Your expertise includes machine learning techniques such as Bayesian optimisation, and you’re comfortable working with experimental data, high-performance computing environments, and (ideally) thin film