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data. Experience with quantitative or mixed methods studies, including undertaking surveys, will also be beneficial. In addition, the successful candidate will be expected to be an active member of
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set-up, and data collection and analysis. Have the ability to analyse and interpret data using appropriate statistical packages (e.g., conducting linear mixed effects models in R). Have experience
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evaluate field characterisation and monitoring data to develop geothermal resource models for individual project demonstration sites. About the person: Successful candidates need to: Have a PhD in Geology
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improving access to cutting-edge technology across the UK healthcare and biotech sectors. Read more about the initiative here This is a unique opportunity to help build a first-of-its-kind cancer AI
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Research Fellow (Internal candidates only) Apply online Job number SHMS00493 School / Service School of Health & Medical Sciences Department Language and Communication Science Location Myddelton
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disparities, advancing interdisciplinary research and practice for sustainable and equitable economic models, and emphasizing policy’s role in mitigating adverse outcomes. With a PhD in a relevant discipline
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PrecisionTox and PARC (Partnership for the Assessment of Risks from Chemicals), in close collaboration with the Phenome Centre Birmingham . These programmes are advancing the science and practice of chemical
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degree in computer science or a cognate discipline, and have completed a PhD on AI/ML, ideally with a focus on safety or security of ML models. Experience of carrying out both independent and collaborative
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sports clubs. About You Hold a PhD/DPhil or be close to completion by the advertised closing date for these posts A keen interest in this specific area of research Ability to analyse data and philosophical
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and Medical Sciences, in collaboration with the Surrey Institute for People-Centred Artificial Intelligence and the School of Mathematics at the University of Surrey. This fixed term role available from