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50 Faculty of Life Sciences Startdate: 01.08.2025 | Working hours: 40 | Collective bargaining agreement: §48 VwGr. B1 lit. b (postdoc) Limited until: 31.07.2029 Reference no.: 4160 Explore and teach
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and science exploitation of the MIGHTEE survey data. The postholder would have the opportunity to identify new discoveries in the data and would be ideally placed to lead the science based on the data
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unique opportunity for enthusiastic early-career researchers to contribute to an established team that has already made important scientific impact, advancing our understanding of the cell biology of
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and science exploitation of the MIGHTEE survey data. The postholder would have the opportunity to identify new discoveries in the data and would be ideally placed to lead the science based on the data
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require close cooperation with other research groups. The position requires PhD in computer science, engineering, or a related field Excellent research track record in AI and sustainability or cloud
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The Opportunity: We are seeking a Postdoctoral Research Associate in Computational Cancer Genomics to join our team at the University of Edinburgh, funded by a Medical Research Council. This is a
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Are you passionate about taking a lead role in a cutting-edge project at the intersection of genomics, computational biology, and haematological cancer? We have an exciting opportunity for a Senior
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an interdisciplinary research team, led by Dr Tom Hiscock, who uses computational and theoretical approaches to understand fundamental questions in developmental biology (see https
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computational cognitive neuroscience/psychology, computer science, or relevant quantitative field, and a demonstrably strong track record of scientific publication and novel idea generation. You will have strong
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emphasis on research infrastructure and technology rather than preparation for an academic career path. You will be involved in research, but more focused on learning and improving how computing, workflows