54 computer-programmer Postdoctoral positions at University of Oxford in United Kingdom
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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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social mobility and its relationship to economic inequality. The post holder will work with the INET Oxford programme on Economics, Inequality, and Opportunity. About you You have completed a doctorate in
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training of mice, in vivo two-photon imaging, viral circuit tracing, and computational analysis to study how fronto-sensory feedback microcircuits contribute to adaptive cognition. The successful applicant
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machine learning. This particular thematic area will be supervised by Associate Professor Agni Orfanoudaki. You will be responsible for planning and managing your own research programme within
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Professor Robin Evans. You will be responsible for planning and managing your own research programme within the collaboration. You will work closely with Principal Investigators and industry scientists
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30 September 2028. This project is associated with an exciting new EPSRC/UKRI-funded Programme Grant entitled “Advanced Device Concepts for Next-Generation Photovoltaics.” This collaborative project
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. The post-holder will be one of six centre-funded postdoctoral researchers delivering on projects that form our core research programme. They will be a cornerstone of the centre, collaborating across our
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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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Raman’s cardiovascular research team. This role is embedded within a cutting-edge programme focused on integrating high-dimensional datasets, including advanced cardiac MRI (oxygen-sensitive, metabolic, and