14 high-performance-quantum-computing-"https:"-"https:" Postdoctoral positions at University of Liverpool
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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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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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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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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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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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individual patient responses to current standard-of-care therapies and will also support our longer-term ambition to perform personalised high-throughput drug screening. Additionally, it will provide a
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, meaning that familiarity with one or more cloud-based platforms such as Google Earth Engine, Microsoft Planetary Computer and/or Amazon Web Server/similar is essential. It will also involve the development
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Health Translational Research Collaboration and which sits within a ground-breaking new Centre: Civic Health Innovation Labs (CHIL). M-RIC is an ambitious programme of work jointly delivered between
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This is an exciting opportunity to join a Wellcome Trust-funded research project led by Dr Jamie Wheeler that aims to resolve how the ¿high priority¿ (WHO) bacterial pathogen *P. aeruginosa
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epidemiology, data science, and policy to produce high-quality, policy-relevant evidence with real-world impact. You should have a PhD (or near completion) in public health, epidemiology, data science, applied