835 computer-science-programming-languages-"U.S"-"U.S" Fellowship positions in United Kingdom
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skills and knowledge of computer programming such as Unix, Python and R Previous experience with multi-omics and their integration Deep technical understanding of bioinformatics analysis approaches and
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We are seeking a highly motivated post-doctoral researcher of high calibre to join our research program in the area of integrated silicon photonics. The position is funded by the EPSRC (Engineering
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are the ability to plan and organise work independently and collaboratively; have excellent written English, and communication skills; with excellent problem-solving skills. What we can offer you The University
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Science Program (HFSP) funded project focused on understanding the musculoskeletal system of head-first burrowers (amphisbaenians). The role will lead on the computational simulation aspects of the project
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September 2025, with an end date of 15th of June 2026. Your skills and attributes for success: A PhD or last year PhD student in Statistics, Operations Research, Computational Sciences or Economics
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disciplines: Anthropology, Architecture, Modern and Medieval Languages (French, German, Italian, Spanish, Russian, Portuguese), Classics, Education, History, History and Philosophy of Science, History of Art
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of Computing and Digital Technology is a thriving, vibrant, and inspiring learning community committed to excellence in research, high quality teaching and impactful industrial engagement. Building on continuous
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, computational biology, computer science, data science or a related subject area and proven knowledge of python programming, developing machine learning/AI based tools and HPC. You will be expected to work as part
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an exciting opportunity to contribute to the ESRC Education Research Programme . The programme is committed to resetting the terms under which education research, policy and practice interact in the interest
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The University of Southampton are seeking to appoint a fixed term research fellow to facilitate and deliver a programme of research on a Faraday Institution funded project: SL2FBat - Sustainable Low