251 computer-programmer-"Multiple"-"U"-"O.P"-"Prof"-"Prof"-"U.S"-"U.S" "St" positions at University of Cambridge
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allowance, and assistance with computing facilities. Research Fellows will be given the option to live in College, subject to a combined rent and service charge, and are entitled to lunch and dinner in Hall
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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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a collaboration between an industry partner (Infosys) and the Department of Applied Mathematics and Theoretical Physics. The role holder will also support the delivery of AI training programmes
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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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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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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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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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Fixed-term: The funds for this post are available for 2 years in the first instance. This appointment requires a Research Passport application. Applications are invited for a post doctoral research associate to work with Dr Timothy Rittman on the implementation of machine learning for...
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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