209 Computer Science positions at University of Cambridge in cambridge in United Kingdom
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organisation skills and be detail-oriented, persistent, and passionate about working as a team to build a successful research group. Applicants must have a PhD degree in Bioinformatics or Computational Biology
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18 May 2024 Job Information Organisation/Company University of Cambridge Research Field Computer science » Other Researcher Profile Recognised Researcher (R2) First Stage Researcher (R1) Country
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applicants will be expected to have following core skills and experiences: A Bachelor degree in a computer science, engineering or relevant specialist subject with a strong emphasis on AI or a bachelor degree
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Nature Economy | Permanent, Full-time | £25,000 to £30,000 per annum, depending on skills and experience We are looking for an Associate Programme Officer to join our growing Nature Economy team
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Applications are invited for the position of Programme, Communications and Training Manager for the Institute of Computing for Climate Science (ICCS). The ICCS is a collaborative project of the
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Fixed-term: The funds for this post are available for 3 months. Applications are invited for a Research Assistant (RA) to join the Prorok Lab in the Department of Computer Science and Technology, at
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West Cambridge. The Manufacturing Engineering Tripos (MET) is a 3rd and 4th year undergraduate programme which provides a sound theoretical basis in manufacturing technology, manufacturing engineering
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. The role holder will also be overseeing a stock value of up to £60,000 using specialist computer stock programmes. You will have a good all round education and be computer literate, able to use
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. The IoA, in collaboration with the University Research Computing Service and the University of Cambridge Open Zettascale Lab (COZL) [https://www.zettascale.hpc.cam.ac.uk ] is investing in specialist
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Programme for Scientific Discovery (https://acceleratescience.github.io/index.html ) is a high-profile University initiative promoting the use of machine learning (ML) to tackle major scientific challenges