19 phd-computer-artificial-machine-human Postdoctoral research jobs at University of Liverpool
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, artificial intelligence/machine learning, digital twins, and blockchain technology for operations and maintenance. This position is part of the Maritime Future Fuels Training Plan project, which aims
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programming skills, and experience with modern machine learning approaches. You will analyse pangenome structure and dynamics, develop new computational methods for comparative genomics, and investigate
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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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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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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
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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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programme of work jointly delivered between University of Liverpool and Mersey care NHS Foundation Trust (MCFT) until December 2027. It will have wide reaching benefits to the region whilst raising
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prison sites, recruitment and data collection, and complex data analysis. You should have a PhD (or near to completion) and an Undergraduate degree in psychology or a relevant discipline. You will have
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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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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