9 computer-science-"https:"-"https:"-"https:"-"https:"-"UCL" PhD positions at University of Oxford
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will be responsible for the follow : (full details of duties available from the Job Description) Research Collaboration and engagement You will have completed a PhD in machine learning, computer science
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with The Faraday Institution’s LiStAr programme, we will explore the development and optimization of QSS cells, including physical characterisation of degradation pathways at the anode and cathode
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can be initiated. There is a pressing need to better understand the Science of Battery Failure, to further reduce failure rates and enable increasingly demanding applications. This is particularly true
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within Oxford Population Health in the University of Oxford. We are seeking a Researcher from the Humanities/ Social Sciences disciplines, to join the Wellcome Trust funded discovery project After the end
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Supervisor: Prof Robert Carlisle Normothermic machine perfusion of either non-tumour-bearing or tumour-bearing organs is a platform technology enabling a broad array of emerging applications, including
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science discipline (or a relevant data science field), have interest and research in the field of economic and experience in data management and analysis. Demonstrable experience of working with
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research supported by The Faraday Institution (co-funder), whose patented MagLiB™ technology has been shown to enhance fast-charging, battery formation and lifetime extension, through the homogenistation
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of Primary Care Health Sciences, Woodstock Road, Oxford, OX2 6GG as your normal place of work but you may be able to agree a pattern of regular remote working with your line manager. The position is funded
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working under the supervision of Professor Gail Hayward and Professor Sarah Tonkin-Crine, within the Nuffield Department of Primary Care Health Sciences. The post is funded by the NIHR ARC Thames Valley and