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. The department provides a dynamic and interdisciplinary research environment, with the Cann group located within bespoke laboratories for interdisciplinary work at the biology-chemistry interface. The Role Carbon
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to completion*) in a relevant subject and a proven track record in computational biology and data science, coming from either a bioinformatic or computational background. With experience of working with large
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networks. This position is part of a UK-Canada Quantum for Science collaborative project "Quantum network applications in theory and practice" funded by STFC/EPSRC (UK) and NSERC (Canada), led by Professor
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://www.hw.ac.uk/uk/services/equality-diversity.htm and also our award-winning work in Disability Inclusive Science Careers https://disc.hw.ac.uk/ . Use our total rewards calculator: https://www.hw.ac.uk/about
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rhythms in population health. This post is part of a large, interdisciplinary research programme, offering attractive opportunities to work across conventional boundaries and pursue hypothesis-led science
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apply if You have: A relevant PhD (completed or soon to be achieved) preferably in Experimental Psychology, Neuroscience or related fields (e.g. Computer Science, Data Science). Demonstrated experience
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: Qualifications A good first degree in an Engineering related subject. A PhD (or be close to submission) in Marine, Mechanical, Thermal Engineering or Computer Science. Experience Experience in conducting high
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sciences or a related field would be beneficial, especially computational social science, behavioural science, communications, statistics, economics, computer science, finance, or management. Experience
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, Artificial Intelligence, and Smart Cities, as part of a prestigious grant awarded under the UK’s International Science Partnerships Fund Early Career Fellowships programme. The British Council funded
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at the University of Liverpool. You will be part of an exciting Liverpool-based UKRI-funded programme of research called ¿SCHOUSE: Supporting Communities in social Housing and Optimising Urban food System