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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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on process development, electrode manufacture and performance assessment, but depending on the skills of the successful applicant, may also involve some aspects of modelling or data science. The post is funded
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, attack surfaces, defensive mechanisms and related topics to the safe deployment of systems contain multiple LLM and VLM powered models. You will be responsible for Developing and implementing; capability
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developing characterisations of network models and interactions with methods in statistical machine learning. The post holder provides guidance to junior members of the research group including project
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the possibility of extension subject to funding. The UK Programme of Laser Inertial Fusion Technology for Energy (UPLiFT) is a 4 year £10M research programme funded by the UK government’s Department for Energy
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, the centre will initially focus on some of the following thematic areas: • Decision analysis under model misspecification • Uncertainty quantification around LLMs • Constrained optimal
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with cutting-edge models and technologies—including patient-derived glioblastoma organoids, CRISPR-based screens, mass cytometry, and advanced microscopy—to dissect these complex biological processes
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areas include: • Investigate innovative financing models for circular bioeconomy businesses and value chains, such as food, fashion, and health. • Explore non-market mechanisms
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As part of the Oxford Martin School Digital Pandemic Preparedness Programme and the Leverhulme Centre for Demographic Science (LCDS), Nuffield Department of Population Health (NDPH) are recruiting a
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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 seeking a