5 machine-learning positions at ROYAL HOLLOWAY, UNIVERSITY OF LONDON in United Kingdom
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on the EPSRC-funded "Verification of Hardware Concurrency via Model Learning" (CLeVer) project (EP/S028641/1). Project Description. Digital devices increasingly rely on multi-threaded computation, with
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. You will have prior experience in low temperature technology, including dilution refrigeration, qubit manipulation and readout, and associated rf technology. You will have computer programming skills
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possess the broad range of skills needed to teach effectively and as well as core teaching within our existing programmes should be able to contribute to and develop our teaching portfolio. We also expect
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levels, including the supervision of doctoral students. Applicants should possess the broad range of skills needed to teach effectively and as well as core teaching within our existing programmes should be
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doctoral programmes to a student body that is over 40% Black and Global Majority. The successful candidate will teach across our BA programmes which include Film Studies, Film Television and Digital