25 computer-algorithm-"UNIS" Postdoctoral research jobs at Durham University in United Kingdom
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Postdoctoral Research Associate in Computer Science ( Job Number: 25001131) Department of Computer Science Grade 7: - £38,784 - £41,064 per annum Fixed Term - Full Time Contract Duration: 36 months
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candidate will work at the intersection of multi-disciplinary modelling, advanced AI algorithms, and decision-support tool development for various hydrogen technologies-based energy systems. Responsibilities
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dynamics, solid mechanics, soft matter or active matter. • To become familiar with simulation algorithms as needed, assist in the development of new ones, test and document any newly developed
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sport and gym facilities and access to a 24-7 Employee Assistance Programme. • Our on-site nursery is rated Outstanding by Ofsted, and you can access holiday camps for children aged 5-16. • Our
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are an active and vibrant department, with a strong cohort of early career academics and future leaders. As a PDRA in computational chemistry at Durham, you will have access to state-of-the-art instrumentation
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academic partners. The Role The postholder will contribute to the UKRI-funded Great British Chemicals (GBC) Hub, a seven-year national programme bringing together 10 UK universities, industry partners, and
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the field of atomic. molecular and optical physics within the Durham Quantum Light and Matter group. The positions are associated with a new five-year Programme Grant on "Quantum Many-Body Physics with
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research project based in the groups of Prof. Aurora J. Cruz-Cabeza and Prof. John Evans. The project is part of a new £7m EPSRC funded Programme Grant that brings together a team of researchers from
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Postdoctoral Research Associate to join a research project based in the groups of Prof. Aurora J. Cruz-Cabeza and Prof. John Evans. The project is part of a new £7m EPSRC funded Programme Grant that brings
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undergraduate and postgraduate programmes in Sociology, Criminology and Social Work. Further, we support the delivery of a faculty research methods programme as part of the collaborative NINEDTP and contribute