170 data-"https:"-"https:"-"https:"-"https:"-"https:" Fellowship positions in Australia
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Fellow will contribute to experimental design, data analysis, manuscript preparation, grant development, and the supervision of students and research staff, helping to advance the laboratory's
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epidemiological studies, potentially including analyses of existing linked population-based datasets, such as the Enduring Cancer Data Linkage (CanDLe) data assets actively contribute to all aspects of research
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position. Further information can be found by viewing UQ’s Criteria for Academic Performance . About You Completion of a PhD in a relevant discipline area or equivalent. An established research profile in
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focused on the development and application of recycled and waste-derived materials for advanced engineering systems. The role will emphasise computational modelling, simulation, and data-driven approaches
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them The Opportunity Join the Department of Data Science and Artificial Intelligence as a Research Fellow and play a leading role in advancing artificial intelligence research for healthcare
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undertaken in the Australian context. Experience in preparing human research ethics applications. Demonstrable skills in the analysis of quantitative and qualitative data analysis software. Excellent oral and
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researcher and primary point of contact for the project designing, collecting, and analysing data using appropriate computational, experimental, or corpus‑based methods preparing manuscripts and contributing
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include: Flow cytometry assessment of immune cell responses to stimulation. Design and optimisation of flow cytometry panels and analysis and interpretation of resulting data. Integration of flow cytometry
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 3 months ago
hours will be considered. Position Description and Selection Criteria: PD&PEWER_Level B_Research Fellow_CSS_2026.pdf Define and solve problems in successful human-AI partnership for information seeking
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to development of research activities. Support the dissemination of research outcomes through appropriate channels and outlets. Undertake discipline-appropriate research activities, e.g. literature review, data