101 parallel-and-distributed-computing-phd-"Meta"-"Meta" positions at Imperial College London
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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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will be expected to participate in co-supervision of project students, oversee smooth and safe operation of the lab. Applicants should hold a PhD in synthetic organic chemistry or physical organic
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measurements possible until the next generation experiments are ready at the end of this decade. In parallel you will carry out R&D for the readout electronics and other aspects of DUNE’s phase II near detector
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Application Location: London, London, United Kingdom of Great Britain and Northern Ireland [map ] Subject Area: EPSRC Programme Grant DataSig II Appl Deadline: 2025/11/14 11:59PM (posted 2025/10/17, listed
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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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Funded by a Royal Society Faraday Discovery Fellowship, you would be working on the project "Predicting synthesisable materials: bridging the gap between computation and experiment", working
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Funded by a Royal Society Faraday Discovery Fellowship, you would be working on the project "Predicting synthesisable materials: bridging the gap between computation and experiment", working
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of the Stores and Distribution Porters and ensure that staff resources are used effectively through proper scheduling and monitoring. As part of the Soft Services, Stores and Distribution Team, you’ll
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work with Prof Declan O’Regan, in the Computational Cardiac Imaging Group, as part of a British Heart Foundation funded program of research on “Understanding the transition from health to disease through