33 computer-science-programming-languages-"the"-"U.S"-"UCL"-"O.P" positions at University of Oxford
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programs (chiefly using C++ Builder). To be considered for the IT Analyst/Programmer role you will have a bachelor’s degree in computer science, software engineering or related field. You will have
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programming languages (R, Julia or Python), are essential. The post is available fixed-term until 31 March 2027, funded by the Medical Research Council. Applications for this vacancy are to be made online. You
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Biostatistics, Mathematics, Statistics, Computing, Mathematical Biology or a related subject. You will have expertise in making sense of microbial genetics. Proficiency in a high-level programming language is
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strong potential o Proficiency in Python and/or R programming languages o Experience working in high-performance computing (HPC) environments o Command line proficiency and BASH scripting
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completed, or be close to completing, a PhD/DPhil in a relevant quantitative field together with a demonstrable track record in studying humans and machine learning models. Advanced programming and
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of trial data. You will provide clinical expertise across the programme, helping to ensure high standards of research design, patient safety and ethical practice. You will also play an active role in
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computer skills, especially familiarity with the MS Office suite of programs Desirable selection criteria Previous experience of a health and safety management role in a large, complex organisation
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the early phase clinical trial unit providing effective an effective administrative support service for the team running our clinical cancer research programme. This post is largely office/computer based and
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- £46,136 per annum (inclusive of Oxford University Weighting) Programme Manager Department of Engineering Science, The Oxford Thermofluids Institute, Southwell Building, Osney Mead, Oxford, OX2 0ES About the
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Colorectal Cancer - Stratification of Therapies through Adaptive Responses (CRC-STARS) programme, developing and applying cutting-edge mathematical methods to spatial transcriptomics imaging data in order to