150 algorithm-"Multiple"-"U"-"Prof"-"Simons-Foundation" positions at University of Oxford in United Kingdom
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computational social choice, and aims to develop formal frameworks and algorithms for eliciting, aggregating, and analysing stakeholder preferences over risk and safety in AI systems. The Research Assistant will
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Engineering, Mathematics, Statistics, Computer Science or conjugate subject; strong record of publication in the relevant literature; good knowledge of machine learning algorithms and/or statistical methods
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We are inviting applications for an exciting new post for a Research Assistant to work with Dr Megan Kirk Chang on an interdisciplinary research program on the Oxford Health BRC Preventing Multiple
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fundamental algorithms for producing policies for rich goal structures in MDPs (e.g. risk, temporal logic, or probabilistic objectives), and modelling robot decision problems using MDPs (e.g. human-robot
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team. You will lead in the design and implementation of statistical and computational algorithms of different datasets, and implement novel algorithms within the framework of existing code, providing
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the day-to-day operations of the Chemistry estate. You will have direct responsibility of the Inorganic chemistry Laboratory, whilst providing support across multiple Chemistry facilities (totalling 27,000
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-ordinate multiple aspects of work to meet deadlines. The post will be based in the Department of Chemistry, Chemistry Research Laboratory, 12 Mansfield Road, OX1 3TA and is available from 1 October 2025
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computational workflows on a high-performance cluster. You will test hypotheses using data from multiple sources, refining your approach as needed. The role also involves close collaboration with colleagues
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developing mathematical algorithms and simulations in MATLAB, in particular with Semidefinite Programming and Sum of Squares and of the analysis and design of feedback control systems using these approaches
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and a keen eye for detail. You are confident working independently, managing multiple tasks, and prioritising effectively to meet deadlines. You will be comfortable using standard office software and