18 high-performance-quantum-computing "https:" "Simons Foundation" Postdoctoral positions at University of Liverpool
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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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new stable co-electrocatalysts using high-throughput synthesis and screening and evaluate them for activity and selectivity towards methane or syngas. You will have a PhD in chemistry or chemical
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The opportunity The University of Liverpool is a key partner in a £14 million initiative (https://tinyurl.com/yc5z768m) to develop a sustainable, next-generation manufacturing facility, using
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The Department of History (https://www.liverpool.ac.uk/history/) seeks to recruit a Postdoctoral Research Associate to work on 'Monastic Economies in the Carolingian Age - 'Farfa and Fulda', a
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Assessment (HTA) Programme. This post will be based in the Department of Primary Care and Mental Health within the Global Mental Health Research Group and the Liverpool Review and Implementation Group (LRIG
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Researchers and academics in Liverpool and overseas and will be expected to provide guidance to PhD and masters students. You will further be expected to publish first-authored research papers in high-ranking
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lithium-mediated nitrogen reduction: revealing a route to sustainable, localised ammonia production. This post is available for 2 years with extension options subject to performance. This Fellowship aims
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We are looking for an outstanding and highly motivated Postdoctoral Research Scientist to join the PERMEDIC project team (https://perame.eu/), an exciting European Innovation Council (EIC) funded
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on glacier behaviour, including extreme events. For this work you should be familiar with image (pre-)processing techniques to obtain high quality quantitative data from time lapse imagery. This may include
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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