358 parallel-computing-numerical-methods uni jobs at University of Oxford in United Kingdom
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, infectious disease epidemiology, systems immunology, computational biology etc) and have experience using statistical methods and machine learning tools, and in developing reproducible informatics pipelines
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and realign how we measure and model populations by infusing new types of data, methods and unconventional approaches to tackle the most challenging demographic problems of our time. We are looking
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continuing tradition of excellence in the subject. The Professor will be expected to provide outstanding research leadership in statistical methods development, bringing with them a vision for the discipline
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University of Oxford’s continuing tradition of excellence in the subject. The Professor will be expected to provide outstanding research leadership in statistical methods development, bringing with them a
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workshops or fabrication facilities. You must also have experience in high technology research and development and Experience of Computer Numerical Controlled machining. You must also have experience in
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of marketing materials and contribute to applicant yield and retention initiatives. Take ownership of specific recruitment or programme-related projects and events, managing budgets and timelines. You will
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and good organisational skills. You will also have: Proven experience working in a finance environment, particularly in accounts payable and receivable. Excellent numerical and data handling skills
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Brian Nicholson (Cancer Theme). The successful applicant will be Stats lead for the EBHC DPhil programme and Methodological lead for the Cancer Theme. Responsibilities will include providing strategic
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organisational skills. You will also have: Proven experience working in a finance environment, particularly in accounts payable and receivable. Excellent numerical and data handling skills, with strong attention
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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