41 proof-checking-postdoc-computer-science-logic Fellowship positions at Monash University in Australia
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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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contingent upon the satisfactory completion of all pre-employment and/or background checks required for the role, as determined by the University. Enquiries: Professor Allen Cheng, Allen.Cheng@monash.edu and
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multidisciplinary in nature, cutting across statistics, econometrics, operations research and data science. Specific project outcomes relate to multiobjective optimisation, expected shortfall and conformal inference
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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
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opportunity for an early-career researcher to contribute to cutting-edge, interdisciplinary research with real-world impact in environmental sustainability and materials science. As a Research Fellow, you will
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cardiovascular biology Contribute to publications, conferences, and seminar papers showcasing your findings Use advanced laboratory and technical equipment to design and perform experiments Develop and refine new
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the people who discover them The Opportunity This Research Fellow position sits within a Wellcome-funded initiative focused on evaluating animal models in mental health science and developing a publicly
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, computing, manuscript preparation, and problem-solving skills. They should be well-organized, able to prioritize tasks, and communicate effectively. Proficiency in analyzing and interpreting meteorological
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checks required for the role, as determined by the University. Enquiries: Eveline Mu, Research Fellow and Manager, Eveline.Mu@monash.edu , +61 3 9076 6589 Position Description: Position Description