20 post-doc-computer-science Postdoctoral positions at University of Liverpool in United Kingdom
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grants from the Royal Society Wolfson Foundation and Academy of Medical Sciences. This team will work collaboratively to investigate age-related changes in human tissue by integrating proteomics and scRNA
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We are recruiting a lead post-doctoral researcher with a background in nutrition for an ESRC funded project on ultra-processed food, nutrition and eating behaviour. The researcher will join the
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computer codes to solve some of the daily research problems and have experience with high performance computing. You should have a PhD in Chemistry, Physics or Materials Science with a proven research track
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Applications are invited for a Postdoctoral Research Associate position in physical, inorganic and materials chemistry. You will work in the research group of Professor Dmitry Shchukin, Stephenson
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Earth System Science). This post is fixed term until 31 July 2028. This role is eligible for sponsorship under the skilled worker route. Commitment to Diversity The University of Liverpool is committed
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This is an exciting opportunity for a talented, organised and highly motivated Post-Doctoral Research Associate with a keen interest in cell biology and ATMP development to join the team on a
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to artificial intelligence (AI) (e.g. computer science, engineering, Statistics, and mathematics etc.) The post is available for 30 months, starting on 1 September 2025. If you are still awaiting your PhD to be
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services (ECO-WADE).¿ You will plan, organise and lead fieldwork on an upland blanket bog in North Wales, and make measurements of greenhouse gas fluxes, water table depths, and water chemistry. This is part
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colleagues in Psychology and Computer Science. The post will suit an individual looking to gain valuable experience in conducting high quality research. The successful candidate will join the Immersive
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Chen, based in the Department of Chemistry and the Materials Innovation Factory. Key responsibilities and duties: ¿ Design, synthesise and characterise new smart sustainable polymers and/or polymer