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and forecasting which would increase the resilience of the sector. Entry requirements and how to apply This is only open to home students with a STEM (Science, Technology, Engineering and Mathematics
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the ability to conduct and complete research projects, as witnessed by published work in machine learning on the specific topics, and strong mathematical skills in probability and statistics. Good knowledge
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Job id: 090085. Salary: £43,205 - £50,585 per annum, including London Weighting Allowance. Posted: 24 May 2024. Closing date: 09 June 2024. Business unit: Natural, Mathematical & Engineering Sci
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advertising for a divisional Senior Development Executive - Mathematical, Physical and Life Sciences within the MPLS team. Applications and interviews for this post are planned for the same dates. Please see
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The Oxford Vaccine Group (OVG) is a leading clinical research group, led by Professor Sir Andrew Pollard. OVG is part of the Department of Paediatrics and conduct studies into new and improved vaccines for adults and children. We are currently seeking an enthusiastic Administrative Assistant to...
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linkage purposes to better characterise health outcomes and their sub-types. To be considered, you must hold (or close to completion of) a PhD in computer science, mathematics, software engineering or
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documented track record of the ability to conduct and complete research projects, as witnessed by published work in machine learning on the specific topics, strong mathematical skills in probability and
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number of areas of computer science and mathematics, including verification, control theory, logic, and number theory. We will support your career development, through supporting your scientific work, and
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The University of Oxford is a stimulating work environment, which enjoys an international reputation as a world-class centre of excellence. Our research plays a key role in tackling many global challenges, from reducing our carbon emissions to developing vaccines during a pandemic. We are...
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objectives. You should hold a PhD (or be close to completion) in computer science, mathematics or related discipline, possess sufficient specialist knowledge across some/all areas of: symbolic/neuro-symbolic