14 computer-science-data-wahrn-hous Postdoctoral research jobs at University of Liverpool
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between Departments is important to the role which will be based in the Materials Innovation Factory. The post will involve leading an iterative programme of applied polymer chemistry and materials science
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The Faculty of Health and Life Sciences at the University of Liverpool is seeking a highly motivated and experienced Postdoctoral Research Associate in clinical forensic psychology to work on 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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between University of Liverpool (Computer Science and Chemistry), VU Amsterdam (Dr. Kevin Luck https://luck-robotics.github.io/), Royce Institute (https://www.royce.ac.uk/) and Unilever, funded by UKRI
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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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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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period of up to 18 months. The School of Engineering is an Athena Swan Silver award holder and is committed to encouraging, developing and supporting individuals in their research and academic careers. A
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should have a PhD degree in Biochemistry, Biomedical Science, Biological Sciences, Omics science, Microbiology or a related discipline and experience of applying mass spectrometry in human signalling