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The role is based in the University of Cambridge's Research Computing Services a leading UK National Supercomputing Centre that provides facilities and services to world-renowned scientists, clinicians, and
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), University of Cambridge, as part of the Gaia and PLATO system development teams within the IoA Data Projects (CamCEAD) group. Gaia is a space observatory of the European Space Agency (ESA), launched in 2013
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, post-docs and interns collaborating across universities to build better algorithms, software tools and benchmarks to assess the safety of AI implementations at the software and hardware level. We
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for the Future of Intelligence (CFI). The candidate will contribute to teaching and lead a research programme in one or more of the following areas: ethical use of machine learning, AI safety, algorithmic
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successful scientific career. Ample career development opportunities. Competitive salary and benefits package from the University of Cambridge commensurate with academic standards, providing support for your
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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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collaborators within the University and Cambridge University Hospital. A such, the ability to work as part of a multi-disciplinary team and to be able to communicate to a range of audiences is required. Join us