24 parallel-and-distributed-computing Fellowship positions at Monash University in Australia
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Research Fellow - Environmental Informatics Hub Job No.: 680160 Location: Clayton campus Employment Type: Full-time Duration: 2 year fixed-term appointment (with the possibility of an additional 2
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computational tools for quantifying electromagnetic field distributions down to the fundamental atomic scale. The project will build on recent developments in inverse scattering methods, including ptychography
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for Health Economics is seeking a Level A Research Fellow to play a key role in an ongoing research program examining the effectiveness and cost-effectiveness of behavioural interventions, with a particular
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computation in science and engineering; Advanced materials and manufacturing; Energy and environment; Future cities; and Life sciences We are seeking an individual passionate about undertaking research in
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motivated and technically skilled data scientist who thrives on solving complex problems in health and medicine. With strong foundations in data analytics, modelling, and statistical computing, you are ready
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. We are currently seeking a Research Fellow with experience in AI and machine learning research and development, with a focus on any or all of following application areas: Computer vision Generative AI
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-designed health innovation Be part of transformative ideas shaping real-world health outcomes John the team at Turning Point as Research Fellow to play a central role in advancing a major program of
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the guidance of artificial intelligence techniques. The project will develop novel design processes that embed material behaviour within agent-based and machine learning computational design systems
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research. Working closely with the Health Economics Program Lead, you will lead and support economic evaluations alongside clinical trials, including adaptive platform trials and novel trial designs, while
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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