68 engineering-computation-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" positions at University of Liverpool
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Gabbay and Barr) in the strategic development and delivery of the ARC programme. We are leading together the next ARC from 2026-31, and it is intended this postholder will have a key role in that expanded
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to fostering collaboration and trust across the research community. You should have a Degree in computer science (or degree with strong computational component e.g. mathematics, physics, biomedical engineering
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You will work within the Engineering Services Group of the Facilities Residential and Commercial Services department, and you should have experience of working within the Construction and Mechanical
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; applicants with PhDs will be preferred. Applicants should also have experience of conducting high quality computer science research and be able to demonstrate sound software engineering and programming skills
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distortions in the presence of a shallow crustal hydrothermal system at a model caldera volcano. The model will use the phase field approach and be implemented in Alya, the parallel multi-physics Computation
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with our industrial and UK university partners, a novel research programme will be implemented based on modelling, control and optimisation of an integrated power and transportation networks. Key
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constantly changing programme. We are particularly interested in those with sound engineering experience but welcome applications from all of the above skillsets. This role is ad hoc and shift based, allocated
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Computer Science, Chemistry, Chemical Engineering, Physics, or Materials Science. You will develop optimisation and machine-learning algorithms for human- and literature-informed discovery of new materials
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We are seeking to appoint a postdoctoral researcher to join our programme on application-specific detector R&D for physics experiments, supported by the UK Science and Technology Facilities Council
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We are seeking a Postdoctoral Research Associate wishing to contribute to an exciting evidence synthesis project with direct clinical and policy relevance, funded by the NIHR Health Technology