348 parallel-computing-numerical-methods uni jobs at University of Oxford in United Kingdom
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The Astrophoria Foundation Year (AFY) Programme seeks to appoint an Engineering Science Subject Lead for the AFY Chemistry, Engineering and Materials Science (CEMS) course. The role is fixed term
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take the initiative to find solutions to problems, or to progress key tasks. They will have an excellent standard of computer-literacy, and will have the ability to handle numerical data with confidence
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level or equivalent, with substantial numerical content, eg mathematics, statistics, computer science, or physical science. You will have demonstrable programming ability using a statistical package (e.g
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reproducible computational pipelines for HPC/cloud environments. Experience with AI explainability methods, Git repositories, GPU acceleration, and the ability to draft manuscripts for publication are also
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to facilitate this. This includes for support for care-experienced and estranged students who may require additional funding. In parallel, the role will support the administration of funding for international
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. In addition to the NIHR funded post available, locally funded posts may also be awarded in parallel, subject to funding and assessment against the stated criteria for the role. Applicants should be
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analytical tools. To be considered, you must hold a MSc in a scientific or numerate subject, or equivalent experience and have substantial experience in data analysis. You will also have excellent written and
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. They should have experience of managing a large programme including excellent numerical skills to manage budgets. Strong problem-solving skills and the capacity to work independently are essential. What we
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FTE, 30 hours per week minimum). About you You’ll have a PhD (or equivalent experience) in a numerically focused field and a strong background in epidemiological and statistical methods. You’ll bring a
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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