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Field
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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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to achieve a higher degree during the fellowship (e.g. PhD) and will need to have excellent academic and organizational skills, ideally with previous experience of data analysis and/or genetics. About the
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regular (weekly) on-campus working. We would expect a minimum of 60% on campus working. The Centre for Population Health Sciences at the Usher Institute within The University of Edinburgh is looking for a
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. About You To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD awarded in cancer immunology, virology, cell biology or molecular
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PhD-fellowship for a respiratory specialist registrar to join an experienced asthma clinical and research group to run a clinical trial that will pick out a biology-high asthma cohort to randomise them
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at . About you You must have a PhD in bioinformatics, biosciences, computational biology, computer science, data science or a related subject area and proven knowledge of python programming, developing machine
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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
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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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, policy, law, creativity, communications, science and technology. Our students are at the heart of everything that we do, and we are committed to supporting them to pursue their career and personal
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interactive tools for all the work done for users to evaluate and analyse their systems. About you The successful candidate will have a strong research background and should have a PhD in environmental science