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About the role We have an exciting opportunity to join the Wood Lab in the Department of Paediatrics as our Postdoctoral Researcher This role is part of a larger interdisciplinary program focused
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Baker). The subject of the research project within the Division of Cardiovascular Medicine, University of Oxford is to re-programme immune cells as part of a larger programme to develop novel therapeutics
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to enable robust robot autonomy in complex, real-world environments. The post sits within our EPSRC Programme Grant in Embodied Intelligence and will advance the state of the art in localisation and scene
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of collaborative projects, working closely with clinicians, imaging experts, and computational scientists across the Oxford–Novartis Collaboration for AI in Medicine. You must hold a PhD/DPhil in Statistics
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research programme on “Enabling consumers to make healthy financial choices”, focusing on how technological and organisational solutions can improve financial literacy and decision-making. This post, under
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’ programme grant. Find out more about the research and group at: About you Applicants must hold a PhD in Physical Chemistry or a related area, (or be close to completion) prior to taking up the appointment
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quantification. Find out more about the research and group here. Your Role As a postdoc on this project, you will be part of a dynamic team working at the intersection of computational biology, molecular
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be found on our jobs page . About the Role As the Executive Programmes team at the Blavatnik School of Government continues to grow, it has been restructured into three key pillars: Programme Delivery
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Academic Clinical Lectureship (ACL) NIHR Integrated Academic Training Path 4 years fixed term Salary: Grade A63 or A67: £38,831 - £80,081 per annum dependent on qualifications and experience, in line with current pay protection and transitional arrangements in the NHS Applications are invited...
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We are seeking a highly talented and motivated Postdoctoral Researcher with an interest in Human-AI interaction to join a research team led by Prof Chris Summerfield focussed on studying learning and decision-making in humans and machine learning systems. The post-holder will have responsibility...