350 parallel-computing-numerical-methods uni jobs at University of Oxford in United Kingdom
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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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The Astrophoria Foundation Year (AFY) Programme seeks to appoint an Engineering Science Subject Lead for the AFY Chemistry, Engineering and Materials Science (CEMS) course. About the role The role
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Previous applicants need not apply We currently have an exciting opportunity for an experienced Programme Data Governance Manager to join the Oxford University Clinical Research Units (OUCRUs
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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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experience on either HPE Juniper Mist, Cisco, HP Aruba, or Aerohive wireless platforms. Excellent understanding of 802.11 wireless standards and applying them to an enterprise environment. Reliable, numerate
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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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or experimental methods, applied statistics, or computational social science. The position is open to candidates from relevant social science disciplines including political science, sociology, economics and public
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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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People and Finance Service Transformation (PFST) Programme Communications Officer Internal Applicants Only This is an exciting opportunity to contribute to a significant transformation programme
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software development in a team setting • Experience with version control distribution software like Git • Experience with numerical methods and techniques, including optimization and statistical analysis