37 computer-science-programming-languages-"the"-"U"-"FEMTO-ST-institute"-"O.P" positions at University of Oxford
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the Department of Physics, together with a Tutorial Fellowship at Balliol College, University of Oxford. This is an opportunity to develop a world-leading research programme in experimental quantum science and
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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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hold a postgraduate degree in Biostatistics, Mathematics, Computational Biology, Bioinformatics or a related discipline, with proven experience in functional or single-cell genomics. You should have
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. The Engineering Science IT team (IT@Eng) are vital to the success of the department. We provide computing and network support, management of IT equipment and software, and help academic, student, and administrative users
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research station, and its founding deeply aligns with the national strategic needs in promoting talent cultivation and innovation as well as that of UNNC. UNNCs undergraduate programme of Business
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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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small, dedicated team, requiring strong attention to detail, excellent communication skills, and a proactive approach to problem-solving. You will report directly to the OCDEM Senior Grants and Programme
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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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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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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