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at https://www.doc.ic.ac.uk/~pam213 and https://osf.io/s4rja/ respectively. Research Associate A PhD (or be close to completion) in an area pertinent to the subject area, i.e. Computer
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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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, 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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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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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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of PhD students on this project, collaborating with other partners in the ARIA programme, assisting with the delivery of project milestones, and managing the project’s codebase. We expect novel algorithms
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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
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culture by cell-to-cell fusion methods. Synergistic work tackling other key barriers in synthetic genomics will be done in parallel by postdocs in Oxford, Cambridge and Manchester that will be close
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computational tools to support the safe and ethical deployment of AI in clinical settings. The research focus is on AI performance monitoring, distribution shift detection, bias assessment, and stress testing
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plan, resource, and direct an original and impacting research programme in a cutting-edge domain relevant to Transport. You will: Formulate an original and potentially significant programme of research