23 parallel-and-distributed-computing-phd-"Meta"-"Meta" research jobs at Imperial College London
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GPUs). Research Associate: Hold a PhD in high performance computing, computational fluid dynamics or a closely related discipline*, or equivalent research, industrial or commercial experience. Research
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Applications are invited for prestigious Eric and Wendy Schmidt AI in Science Fellowships, a program of Schmidt Sciences, commencing 1 September 2026. There are up to 8 positions available, with a
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Applications are invited for prestigious Eric and Wendy Schmidt AI in Science Fellowships, a program of Schmidt Sciences, commencing 1 September 2026. There are up to 8 positions available, with a
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Applications are invited for prestigious Chapman Schmidt AI in Science Fellowships, a program of Schmidt Sciences, commencing 1 September 2026. There are 2 positions available, with a duration of 2
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Applications are invited for prestigious Chapman Schmidt AI in Science Fellowships, a program of Schmidt Sciences, commencing 1 September 2026. There are 2 positions available, with a duration of 2
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Applications are invited for the prestigious Eric and Wendy Schmidt AI in Science Fellowships, a program of Schmidt Sciences, commencing 1 September 2026. This 1-year appointment at Imperial College
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Applications are invited for the prestigious Eric and Wendy Schmidt AI in Science Fellowships, a program of Schmidt Sciences, commencing 1 September 2026. This 1-year appointment at Imperial College
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, model predictive control, parallel computing using JAX and rapid online learning, is highly desirable, but candidates demonstrating an ability and willingness to become familiar with these topics and able
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You will join the EPSRC-funded project “Behavioural Data-Driven Coalitional Control for Buildings”, pioneering distributed, data-driven control methods enabling groups of buildings to form
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The Robot Learning Lab in the Department of Computing at Imperial College London is seeking a talented Research Assistant (pre-doc) for an ambitious new project on dexterous robot learning. In