32 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "University of Plymouth" Fellowship positions at University of Sydney in Australia
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to support translational outcomes and shared priorities perform quantitative and qualitative data collection, coding, analysis and interpretation, and contribute to the production of high‑quality peer‑reviewed
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Part time (4 hours per week) fixed term for 12 months at Camperdown Key Senior Research Fellow role providing specialist information expertise in immunisation and infectious disease research
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the intervention) lead and support data collection, analysis and manuscript preparation manage the research budget collaborate with clinical and research team members present research findings through publications
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physiology and medicine to contribute to research strategy measure physiological and structural variables within cardiovascular and related functions, managing and analysing data, statistical analysis
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change. The program engages with these dynamics to develop skills for effective planning, management and leadership. Please refer to the website for more information about the academic program structure
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of relevant training and experience proven Computer Literacy in (Excel, Clampex/Clampfit, GraphPad Prism) proven research publication in relevant field strong track record of peer-reviewed publications in
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submissions, amendments, and compliance reporting apply clinical and academic expertise to audit and interpret complex clinical data, ensuring accuracy and rigour in research findings design and develop
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on clinical trials, as well as contributing to the development of data-driven interventions and stewardship models to enhance patient outcomes after surgery. This position is an opportunity to work with a
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design, molecular biology, and data-driven discovery to advance understanding of human retinal disease mechanisms and support the development of new treatments. The role includes undertaking both
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to: lead advanced biostatistical and econometric analyses across large and complex health datasets contribute to the team’s publications, grant applications, and scholarly outputs manage and curate data