43 postdoc-computer-science-logic-"DIFFER" Fellowship positions at Monash University in Australia
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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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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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industry- and government-friendly materials, public scholarship, and peer-reviewed academic publications The successful candidate will have a doctoral qualification in sociology, science and technology
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Ability to work independently and collaboratively within an interdisciplinary team Excellent organisational, communication, and interpersonal skills Advanced computer skills, including Microsoft Office and
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feels different. There’s a sense of belonging, from contributing to something groundbreaking – a place where great things happen. We value difference and diversity , and welcome and celebrate everyone's
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independently and as part of an interdisciplinary and cross-cultural team, possess excellent organisational and communication skills, and work collegially with other staff. Advanced computer skills, including
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pioneering teaching methods. To learn more about the School of Nursing and Midwifery at Monash . About Monash University At Monash , work feels different. There’s a sense of belonging, from contributing
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stronger, more equitable health systems across Australia. We work closely with government and industry partners to solve complex challenges, inform better policy, and deliver evidence that makes a difference
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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