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4-year PhD fellowship in the Research Programme - Deep Learning-Accelerated Crystallography Pipeline
determination by developing mathematical methods and integrating machine learning into crystallographic workflows. The successful candidate will develop theoretical and computational approaches to improve
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foundation models and world models enable robots that understand instructions, interpret scenes and generate behaviours. However, most systems require huge datasets, extensive teleoperation, expensive compute
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Assistant or Associate Professor in Computational Astrophysics or Cosmology ( Job Number: 26000989) Department of Physics Grade 8/9: - Grade 8 £47,389 - £56,535 per annum Grade 9 £59,966- £67,468
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your mathematical models and computational results with their complementary experimental wind-tunnel and water-flume data. Leveraging your strong background in high-fidelity simulations and mathematical
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projects for the ELT. The CEA benefits from our deep, intertwined links to the Institute for Computational Cosmology (ICC), drawing on their world-leading expertise in simulations and high performance
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the statistical theory behind the generation of turbulence and its effect on optical beams, develop software tools to simulate light propagation through the atmosphere, and create new and novel instrumentation
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of Engineering, with a focus on advanced solid oxide fuel cell (SOFC) modelling, three-dimensional combustion and engine simulation, and AI-assisted modelling approaches for hybrid marine propulsion system
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post). We would ask that you alert your academic referees to this application as soon as possible, and provide them with a copy of the CV you submit with your application, so that we can quickly obtain
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state-of-the-art sport and gym facilities and access to a 24-7 Employee Assistance Programme. • Our on-site nursery is rated Outstanding by Ofsted, and you can access holiday camps for children aged 5