170 linked-data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" Fellowship positions in Australia
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organisational skills, experience in manuscript or report preparation and clear communication skills. An understanding of confidentiality, privacy and information handling, collaborative working practices and
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prior to starting in this position. For more information and instructions, please visit:NSW Health employment requirements EEO statement At the University of Sydney, our shared values are trust
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is located on an NSW Health site, it is a regulatory requirement to complete compulsory employment checks prior to starting in this position. For more information and instructions, please visit: NSW
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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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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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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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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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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