22 senior-lecturer-distributed-computing Fellowship research jobs 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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Research Fellow or Senior Research Fellow in Neuroimaging Job No.: 682126 Location: Clayton campus Employment Type: Full-time Duration: 2-year fixed-term appointment Remuneration: $145,740
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people who discover them The Opportunity Reporting to Dr Emma Watson (ARC DECRA Fellow and Senior Lecturer in the Medicinal Chemistry Theme), the focus of this role will be to contribute to the Watson
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people who discover them The Opportunity The Research Fellow will be a motivated and talented computational scientist and a key member of Monash University ice sheet modelling research team and SAEF’s
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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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peer-reviewed publications, while providing senior-level expertise to support and mentor internal teams. A vital responsibility includes guiding emerging science-practitioners (Clinical Psychology PhD
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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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. 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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for the role, as determined by the University. Enquiries: Dr William Roman, Senior Research Fellow, +61 3 9902 9611 Position Description:Research Fellow Applications Close: Monday 8th September 11:55pm AEST
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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