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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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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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, together with relevant experience. Strong communication skills are essential, including the ability to write for publication, present research proposals and findings, and represent the research group
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collaboration with the Translational Gastroenterology Unit (TGU) and the Ludwig Institute of Cancer Research (LICR) we aim to develop a computer guided endoscopy image recognition system that will support
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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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the ability to write for publication, present research proposals and results, and represent the research group at meetings Informal enquiries may be addressed to Professor Jakob Foerster (email: jakob
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the ability to write for publication, present research proposals and results, and represent the research group at meetings. We proudly hold a departmental Athena SWAN Silver Award and an institutional Race
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robust deep neural networks applied to computer vision tasks. You should have the ability to manage your own academic research and associated activities. Informal enquiries may be addressed to Professor
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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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We are seeking a full-time Postdoctoral Research Assistant in Machine Learning and Power Systems to join the Energy and Power Group at the Department of Engineering Science (Osney). The post is