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We are seeking a full-time Postdoctoral Research Associate in Machine Learning for Grid-Edge Flexibility to join the Power Systems Architecture Lab within the Department of Engineering Science
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that your work will contribute towards advancing the state of the art in computer guided endoscopy. You should hold a relevant PhD/DPhil or be close to completion, with relevant experience in the field
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to the Recruitment Coordinator (email: recruitment@maths.ox.ac.uk), quoting vacancy reference 178846. Applicants will be selected for interview purely based on their ability to satisfy the selection criteria as
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Security and Net Zero. UPLiFT’s goal is to develop key science and technologies which will be required to realise power generation via laser inertial fusion; Inertial Fusion Energy (IFE). The successful
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proceedings. There will be opportunities to contribute a small amount of teaching to the department, of at most three hours a week during the academic terms. You will have, or be close to completing, a PhD in
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and teaching. Based within NDPH, The China Kadoorie Biobank (CKB) Study is a uniquely rich and powerful global resource for investigating the environmental and genetic determinants of common chronic
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close to completion of a relevant PhD/DPhil, together with relevant experience; possess sufficient specialist knowledge in Socio-Legal Studies, Law of Evidence, Psychology or Psychiatry to carry out
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of the group, and with other multidisciplinary researchers in the group in Oxford and elsewhere. You will maintain a detailed electronic lab book. About You You will have or be close to the completion of a PhD