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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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methodology. Experience or extensive experience as an applied biostatistician, evidenced by publications, conference papers, reports, or technical contributions in the health sciences. Experience in managing
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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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? For further information relating to the position, please contact the Vice Chancellor’s Research and Impact Fellowship Scheme program team at vcrif@vu.edu.au Our Commitment to Protecting Country: Victoria
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the attached position description for a comprehensive list of roles and responsibilities. College of Nursing and Health Sciences At the College of Nursing and Health Sciences, we aim to be an innovator in
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Fellow positions are available in the School of Law, Queensland University of Technology (QUT) in Brisbane to carry out research and support research projects spanning QUT's Centre for Decent Work and
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to Reconciliation and Indigenous Employment Flinders University is proud to be an organisation that is committed to our Reconciliation Action Plan and Indigenous Workforce Strategy. Our vision is to be a preferred
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Indigenous Employment Flinders University is proud to be an organisation that is committed to our Reconciliation Action Plan and Indigenous Workforce Strategy. Our vision is to be a preferred employer for
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School of Biology, reporting to Professors Danielle Way and Bob Furbank, in collaboration with Dr Harsh Raman (NSW DPI). This role involves conducting independent plant science research and fieldwork
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: Completion or near completion of a PhD in bioinformatics, statistics, data science, microbiology, nutrition science or immunology. An emerging profile in research in microbiome, immunological disease