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and PhD students. Research spans a wide range. Current interests include: Bayesian statistics; modelling of structure, geometry, and shape; statistical machine learning; computational statistics; high
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in literature review methodologies, and have a good command of research knowledge relevant to Contextual Safeguarding. Research experience, including from their PhD, is essential, however we are open
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Criteria: Qualifications A good first degree in Mathematics, Physics or a related subject. A PhD (or be close to submission) in Applied Mathematics, Solar Physics, or a related subject. Experience Experience
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Specification Essential Criteria: Qualifications 1. A PhD in any subject relevant to the role as described in the proposed project. The PhD must have been submitted at the point of application but may still
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made to support people within their role. Person Specification Essential Criteria: Qualifications A good first degree in biochemistry, chemistry, microbiology, or a related subject. A PhD in biochemistry
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Criteria: Qualifications A good first degree in Physics or Mathematics. A PhD (or be close to submission) in Theoretical or Mathematical Physics or a related subject. Experience Experience in conducting high
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biological sciences or chemistry. A PhD in molecular bioscience or biochemistry OR be close to be being awarded. Experience Experience in conducting high quality academic research. Demonstrable ability
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requirements, including salary thresholds which are applicable to some visas. Person Specification Essential Criteria: Qualifications A good first degree in a social sciences subject. A PhD physical cultural
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first degree in Geography, Environmental Science, Earth Science or similar A PhD (or be close to submission) in Geography, Environmental Science, Earth Science, or a related subject. The PhD must be
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Essential Criteria: Qualifications A good first degree in Geography. A PhD (or be close to submission) in Geography, or related social science disciplines. The PhD must be submitted before the start date