196 postdoc-density-functional-theory-dft Postdoctoral positions at University of Oxford in Uk
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or your viva has been held. Informal enquiries may be addressed to Prof. Tan (email: jin-chong.tan@eng.ox.ac.uk) For more information about working at the Department, see www.eng.ox.ac.uk/about/work-with-us
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the tree of life. The main responsibilities will be to identify ancient gene families that encode membrane proteins and then use a range of phylogenomic methods to understand their ancestry. These analyses
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transparent windows to separate a liquid/gas environment from the vacuum conditions typically needed (see 10.26434/chemrxiv-2025-0cgp0). This role therefore aims to translate this approach from the synchrotron
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Professor Chris Russell. This is an exciting opportunity for you to work at the cutting edge of AI, contributing to a major shift in how we understand and apply foundation models. The position is full-time
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The University of Oxford is a stimulating work environment, which enjoys an international reputation as a world-class centre of excellence. Our research plays a key role in tackling many global
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) in machine learning or a closely related field you should possess sufficient specialist knowledge in the discipline to work within established research programmes and have an ability to manage own
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About the role Comparative genomics, and specifically our ability to identify which genes are related in different species, has revolutionized our understanding of the natural world. It enables us
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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
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. Richard Walker, Principal Investigator on the project. The successful candidate will work closely with Prof. Richard Walker, along with the broader COMET community, on a project sponsored by the UK Foreign
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(University of Bristol). This project seeks to deliver a step-change in how we understand the dangerous eruptive transitions that are associated with significant disruptions and fatalities. The project will use