920 computer-science-programming-languages-"U.S"-"U.S" positions at University of Oxford
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the responsible deployment of AI in clinical environments. To be considered, you must hold a Masters degree in engineering, mathematics or computational and have demonstrated experience in programming
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for a highly stimulating environment. St Cross is looking to recruit a Student Support Co-Ordinator to co-ordinate academic programme administration and student wellbeing activity as part of a small team
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proficient in the use of programming languages, for example R or Python, and have excellent communication skills, including the ability to write for publications, create figures reflecting data analyses
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University, fostering an inclusive and egalitarian community. We offer: Membership of the University’s staff benefits program, including 38 days’ paid holiday and access to world-class facilities
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. Within this, the People and Finance Service Transformation (PFST) Programme is driving significant change, and talent acquisition is at the heart of that transformation. What We Offer 38 days of annual
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on evaluating the abilities of large language models (LLMs) of replicating results from the arXiv.org repository across computational sciences and engineering. You should have a PhD/DPhil (or be near completion
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range of childcare services • Family leave schemes • Cycle and electric car loan schemes • Employee Assistance Programme • Membership to a variety of social and sports
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an important role in the Oxford Cancer Clinical Trials Unit providing an effective administrative support service for the team running our clinical cancer research programme. This post is largely office/computer
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to a large-scale, interdisciplinary research programme. We are looking for someone with proven expertise in a fast-paced environment, who is committed to delivering high-quality research support and
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for this post. The successful candidate will be required to develop a personal research programme in theoretical cosmology (which may include numerical modelling and/or data analysis), interacting with faculty