251 algorithm-development-"Multiple"-"Simons-Foundation" positions at University of Cambridge
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computational scientists to develop advanced algorithms and models. Research and validate potential biomarkers associated with breast cancer progression, treatment response, or patient outcomes, using
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(Biochemistry, Neuroscience) MSc degree (or equivalent) in Epidemiology, Biostatistics, Data Science or related discipline. Strong quantitative analysis skills and experience developing algorithms and/or
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, ensuring a consistent and professional online presence. Support the development of a new intranet and contribute to digital campaigns and marketing activities. Produce digital content including blogs
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A position exists for a Research Assistant/Associate in the Department of Engineering, to work on the development of advanced fast reactor designs contributing to two international projects funded
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experience managing, motivating, and developing service teams Can prioritise and deliver multiple areas of work efficiently and effectively Can lead and support teams through periods of change and process
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An opportunity has arisen for a Rodent Import and Export Coordinator to join our busy biomedical services team within Cambridge. The role holder will be responsible for development and
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. Given the broad coverage of the discipline, which almost uniquely spans arts, humanities, social and physical sciences, the administrator will need to develop detailed knowledge and understanding of a
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Applications are invited to join a dynamic team led by Dr Richard Tyser at the Cambridge Stem Cell Institute, working to understand how the mammalian heart develops. This project is funded by
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pairing to enable spin-polarised charge and pure-spin supercurrents. The role will involve developing and characterising hybrid superconducting devices with ferromagnets and antiferromagnets, with a focus
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at Cambridge. The Fellow will work under the supervision of the Principal Investigator and Director of LISA, with a view to developing LISA's research capacity in spatial analysis of housing inequality