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-contractual basis) that combines a mix of remote and regular on-campus working. Your skills and attributes for success: A PhD in Statistics, Data Science, or Epidemiology with experience in causal inference
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climate change - Computer vision, e.g., colour vision, human colour vision, colour appearance models, etc. - AI technology, e.g. statistical learning, neural network learning, deep and transfer learning
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guidance to PhD students where appropriate to the discipline Contribute to developing new models, techniques and methods Person Specification First degree in the mathematical sciences or similar, and a PhD
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://www.ucl.ac.uk/human-resources/policies/2021/jun/conditions-service-academic-staff for more information. About you You must have a PhD (or be working towards it) in relevant subject area (biochemistry, cell
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climate change - Computer vision, e.g., colour vision, human colour vision, colour appearance models, etc. - AI technology, e.g. statistical learning, neural network learning, deep and transfer learning
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stakeholders. Skill and experience required You will have outstanding programming skills in at least one major computer language as well as expertise in at least one strong mathematical/quantitative or robotics
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6 Dec 2025 Job Information Organisation/Company University of Nottingham Research Field Computer science » Other Mathematics » Statistics Medical sciences » Other Researcher Profile Recognised
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resources in languages, education, and social sciences. This research fellow will contribute to the project LIFELANGS: Living Observatory of Shared Languages and Identities, reporting to co-PI Dr Aisling
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crystals, whose properties exhibit periodic oscillations in time. Photonics offers a promising route for advancing time crystals into the emerging domain of timetronics — an information and data technology
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crystals, whose properties exhibit periodic oscillations in time. Photonics offers a promising route for advancing time crystals into the emerging domain of timetronics — an information and data technology