200 postdoc-parallel-computing positions at University of Cambridge in United Kingdom
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An exciting new role has arisen to support the expansion of the Active Students Programme at Cambridge. The role holder will be part of the team responsible for coordinating and supporting the day
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programme of support that will help you to establish you as an independent academic researcher, including assistance with your fellowship application, setting up your lab and recruiting personnel, as
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research centre well-known for its close-knit community, friendly atmosphere, and outstanding research support. We are seeking a post-doctoral research associate with experience in computational approaches
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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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; Chemistry; Computer Science; Ecology; Engineering; Environmental Sciences; Mathematics/Mathematical Sciences; Medicine; Natural Sciences; Physics; Psychology; Veterinary Sciences. This Fellowship is intended
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, and the post-holder will be expected to have effective communication and liaison skills, excellent computer skills and experience of working with databases. Flexibility and the ability to adapt
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wellbeing: Our Cambridge Works programme isn't just corporate speak - we genuinely want you to thrive both at work and at home. We've embraced flexible hybrid working, and we balance in-person collaboration
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The Clinical School Computing Service (CSCS) is looking for an articulate, self-motivated and proactive IT Migration Engineer to join our IT Infrastructure Team. The successful candidate will be
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Applications are invited to apply for a Research Nurse position within an established translational research programme headed by Dr Massimiliano di Pietro and Professor Rebecca Fitzgerald, focusing
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Campus. The CMDL is a key strategic resource for the integrated cancer medicine programme aimed to translate innovative genomics methods for advanced diagnosis and clinical management of cancer