558 parallel-computing-numerical-methods-"Simons-Foundation" positions at University of Oxford
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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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methods suitable for legged systems in physically-realistic simulated environments and on real robots. You should hold or be close to completion of a PhD/DPhil in robotics, computer science, machine
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the University of Oxford, the postholder will conduct scientific research that refines existing methods, sheds light on the impacts of climate change in understudied regions, and informs adaptation and legal
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and biochemists within the IOI. The IOI’s interdisciplinary research programme involves national and international collaborators. We are a vibrant, enthusiastic, innovative and strategic enterprise with
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interdisciplinary research programme involves national and international collaborators. We are a vibrant, enthusiastic, innovative and strategic enterprise with an internationally leading position to make a real
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with an international reputation for excellence. The Department has a substantial research programme, with major funding from Medical Research Council (MRC), Wellcome Trust and National Institute
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medical image analysis. Our finite element brain models are based on tissue segmentation and our numerical simulations are validated against existing imaging data. The group’s long-term vision is to impact
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INTERNAL APPLICANTS ONLY About the role The Rees Centre wishes to appoint a researcher with expertise in qualitative research. This post is an excellent opportunity to be a member of a mixed-method
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) position on the project Aggregating Safety Preferences for AI Systems: A Social Choice Approach, funded by ARIA under the Safeguarded AI TA1.4 call. The project explores novel aggregation methods
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explores novel aggregation methods at the intersection of AI safety, computational social choice, and judgment aggregation, aiming to formally integrate multi-stakeholder preferences into AI system design