245 computer-programmer-"IMPRS-ML"-"IMPRS-ML" positions at University of Cambridge in United Kingdom
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Holidays), access to a ‘cash plan’ healthcare scheme currently provided by Simplyhealth, free lunch (up to a specified monetary limit), free use of an on-site Gym and free parking close to the College site
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membership of a defined contributory pension scheme, 36 days’ annual leave (inclusive of Bank Holidays), access to a ‘cash plan’ healthcare scheme currently provided by Simplyhealth, free lunch (up to a
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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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research skills, provide instruction or plan/ deliver seminars relating to the research area. The successful candidates will have a PhD (or expect to soon be awarded) in the physical or biological sciences
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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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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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defined contributory pension scheme, 36 days’ annual leave (inclusive of Bank Holidays), access to a ‘cash plan’ healthcare scheme currently provided by Simplyhealth, free lunch (up to a specified monetary
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prostate cancer risk across diverse ethnic groups. This work aims to support more equitable risk stratification in cancer screening programmes. Using simulations based on multistate modelling framework
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The Role: The Estates Division is seeking a skilled and proactive Application Specialist to join our Business Services team. This newly created role is central to the support and development of our digital estate, with a particular focus on the Invida CAFM system and other business-critical...
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atmospheric science, computational mathematics and physics. Experience with the Unified Model or atmospheric modelling is highly desirable but not essential. Experience with radiative transfer models