695 computational-physics "https:" "https:" "https:" "https:" "Simons Foundation" "Simons Foundation" Fellowship positions in United Kingdom
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clinical base at the Maudsley Hospital and involves affiliated laboratories across King’s Health Partners. The programme is strongly lead by statistical modelling to predict not just Parkinson’s disease (PD
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develop foundational security theory for agentic and multi-agent AI systems, as part of our research programme in multi-agent security. You will build formal models of security-relevant behaviour in
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the School of Mechanical Engineering. The project is part of a new £7M EPSRC funded Programme Grant that brings together a team of researchers from the universities of Leeds, Durham and Manchester
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within the College of Engineering and Physical Sciences, this post will work closely with other researchers in Chemistry, Chemical Engineering and Metallurgy and Materials as well as collaborators
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to key, but poorly understood, physical processes and parameterisations. At Exeter, the work will focus on understanding how processes such as clouds and convection, ocean heat transport, and continental
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Nash Fellow will be appointed for two years to undertake an independent programme of research in Albanian Studies, from which peer-reviewed publications will be generated and results and findings
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development opportunities Provide a platform from which fellows may apply for external funding, such as clinician scientist fellowships, to be held at the Crick or elsewhere. The Programme: Fellows at the Crick
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to £43,805 per annum We welcome applications from skilled, delivery-focused engineers to contribute to our successful railways-applied smart machines research programme. About the Role We are seeking a highly
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are expected to contribute to class teaching on the undergraduate degree programme and other teaching on the undergraduate or postgraduate programme as may be available. While our class teaching needs can arise
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the mentorship of leading experts in one of the following priority research areas: Research area 1: Intelligent Structural Optimization using Physics-Informed Reinforcement Learning Research area 2: AI-Enhanced