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(Senior Research Associate): A PhD (or working towards one) or equivalent expertise in AI, video communication, or a related field. Additional Knowledge and Skills: Understanding of web-services
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, Statistics, Bioinformatics, Chemistry, Biology, Archaeology). Desirable to have a PhD (awarded or imminent) in a relevant subject and involving statistical data analyses and formal model comparison. Experience
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-supervision of PhD students and teaching support of the PI’s final-year unit Mechanics of Lightweight and Composite Structures. In addition to academic and pastoral support within the School of Civil
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. Advise on and participate in deployment activities related to the TORUS system. Essential PhD in machine learning (or working towards one for Grade I), data science, artificial intelligence or related
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(or about to obtain) a PhD in experimental particle physics or equivalent professional experience in the research area required. You have fluency in at least one programming language (C++ and/or Python
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Butts’machine learning sub-group. Supporting the development of grant funding applications around machine learning for structure elucidation. You hold a PhD (or are in final stages of preparing to submit for a
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: A strong undergraduate degree and a PhD in applied mathematics, physical sciences, engineering, or a closely related discipline. A proven track record of modelling-based research relevant
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having completed a PhD programme in the last 12 months) to participate in a fixed-term set of projects linked to prostate cancer health services research, with the ultimate aim of strengthening your track
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quantum emitters, laser spectroscopy, quantum control, photonics, bulk optics, fibre optics, entanglement sources, or other quantum technologies. Have a PhD (or working towards one) in Physics, Electrical
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Associate or Senior Research Associate, depending on level of experience, see further details document. You will have a MEng in Engineering/Materials Science or closely related discipline and ideally a PhD in