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About the role The University of Leicester is proud to be part of the UK Nuclear Deterrence Network, a collaborative initiative with King’s College London and the Royal United Services Institute. As
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groups working on digital health and wellbeing , network science , computational social science , and various topics in machine learning. You will be working in the research group of one of the PIs
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testing and stakeholder engagement. Collaborate closely with the PhD researcher to connect environmental data analysis with computational design innovation. Participate in fieldwork in Norwegian glacier
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biomedical data scientist / computational biologist to join our highly collaborative team at QMUL. PhD (or close to completion) or research qualification/experience equivalent to PhD level in the relevant
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this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD in bioinformatics, computational biology, or a related discipline * Extensive experience and
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in related program areas to gain exposure to and build knowledge on experimental/research activities and approaches, in order to improve conceptual development and industrial implementation. Identify
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for candidates to have the following skills and experience: Essential criteria PhD qualified in mathematical, physical or computational sciences Experience in using machine learning methods to analyse datasets
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) benefiting from the exceptional network of academics at the University of Oxford, including the Oxford Volcanology group. About you You will hold or be close to the completion of, a relevant PhD/DPhil
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PhD qualified in mathematical, physical or computational sciences Experience in using machine learning methods to analyse datasets Experience in statistical or scientific programming (ideally R and/or
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research project, Understanding health and well-being among farm women: A life-course approach, which is jointly led by the CRPR and the Farming Community Network (FCN). Through a combination of quantitative