12 phd-computer-artificial-machine-human "https:" Postdoctoral positions at Durham University
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communication skills. Demonstrable excellence in scientific computer programming, including experience of developing complex programs to solve research problems in molecular quantum mechanics. Desirable Criteria
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, including the Institute for Advanced Study. Durham Energy Institute, Institute for Medical Humanities, Wolfson Institute, and Durham Global Security Institute. For more information, please visit our
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, machine learning, governance and operations, we aim to address the complex challenges and opportunities of space exploration. CfAI is a large research group in the Department of Physics at Durham University
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young people from socially disadvantaged backgrounds into a technical career in environmental science. Part of the NERC ‘Opening up the Environment 2026’ work programme, the project seeks to lead and
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Tales for Children (TWiTCH) Early Years language programme. The project is funded by the Education Endowment Foundation (EEF) and more information can be found on the EEF website (https
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Specification Essential Criteria: Qualifications 1. A good first degree in Biomedical Engineering/Bioengineering, Mechanical Engineering, Computer Engineering or a closely related subject. 2. A PhD (or be
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candidate will join a five-year EPSRC Programme Grant project called “Electrical Composites” (EleComp) that involves eleven academics from Imperial College London, University of Bristol and Durham University
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-second class degree in Engineering, Mathematics, Computer Science or Physics. 2. A PhD (or be close to submission) in any of the above fields, or equivalent professional experience in a similar field
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Car Benefit Scheme, allowing you to lease a brand-new electric or hybrid vehicle with savings on tax and National Insurance. · We have a genuine commitment to developing our colleagues
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matter physics, cosmology, particle physics and quantum physics. It has real‑world impact, informing developments in energy storage, improved cancer imaging, quantum computing, nuclear fusion, pandemic