36 software-verification-computer-science Fellowship research jobs at Monash University
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Computer Science, Computational Chemistry, bioinformatics) and have extensive experience in academia or industry with a focus in computational drug discovery. Prior experience working with GPCRs would be
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sits at the forefront of an international program aimed at improving the understanding and treatment of alcohol use disorder. This position will leads functional neuroimaging research and plays a key
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of Chemistry is looking for a Post Doctoral Research Fellow to join in an exciting project Parameterisation of voltammetry in a machine learning environment. The project involves working with a multidisciplinary
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of Information Technology is seeking a Level A Research Fellow to join the Department of Data Science and Artificial Intelligence (DSAI). This role offers an exciting opportunity to contribute to cutting-edge research
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University's Department of Economics is seeking a Research Fellow to join the project titled “Women in STEM: The Longer-Term Effects of Teachers.” This research initiative aims to understand how teacher
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of Civil & Environmental Engineering is seeking an exceptional early-career researcher to join a nationally significant ARC Discovery Project exploring the sustainable size of cities and the transformative
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delivery of clinical research that directly impacts real-world care. This role is ideally suited to an early career researcher or health sciences graduate with experience in clinical data collection and
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team as an A Level A Research-Only Academic and contribute to cutting-edge studies in the field of epigenetics, multi-OMIC science, ageing, and exercise. In this role, you will support the university's
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leading medic-legal and engineering researchers on real-world crash data Join Australia’s only academic department embedded in a forensic medicine institute The Opportunity Are you a proactive early-career
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implementation science. We are now seeking an exceptional Research Fellow (Level B or C) to lead innovative methodological research in statistical theory for adaptive variants of longitudinal cluster randomised