15 high-performance-computing-postdoc Postdoctoral research jobs at University of Liverpool in United Kingdom
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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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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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in Python, working with high-performance computing clusters, and implementing reproducible research workflows. The position requires expertise in prokaryotic genomics, strong statistical and
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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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) for Wi-Fi. You will join the team of Dr Junqing Zhang in the School of Computer Science and Informatics at the University of Liverpool. The project will focus on innovative and practical radio frequency
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the growth of mastitis-causing pathogens. Performing on-farm environmental sampling of dairy cubicles and teat-end swabbing to gather real-world data. Evaluating the relationship between cubicle hygiene
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an interdisciplinary team working across physical and computer science to develop new pathways to the design and discovery of inorganic materials as part of the Leverhulme Centre for Functional Materials Design. This
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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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to delivering high-quality, theoretically informed, and practically relevant research outputs, working under the supervision of Dr Power. They will also contribute to dissemination, impact, and engagement
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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