12 phd-in-computational-mechanics Postdoctoral positions at University of Liverpool; in Uk
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have a PhD (or equivalent professional experience) in an appropriate engineering discipline (Naval Architecture/Civil/Structural Engineering /Mechanical/Renewable Energy/Engineering Management). The post
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advanced catalytic materials, as well as evaluating and optimising plasma-catalytic processes for CO2 hydrogenation. You will work to get new insights into the reaction mechanisms in plasma-catalytic CO2
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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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) 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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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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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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animal health research. Essential criteria: A PhD in microbiology, veterinary microbiology, or a closely related field. Proven experience in microbiological laboratory techniques, including bacterial
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project team skill and expertise. The successful candidate should have a PhD in cartilage, stem cell or protease biology (or a related discipline). Expertise in mammalian cell culture, biochemical/protein
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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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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