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degree with honours (or equivalent) in Engineering, Physics, Mathematics, or Materials Science • Excellent English written and spoken communication skills • Foundations in Continuum Mechanics and
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Research Assistant to investigate digital reading comprehension through large-scale data analysis. This role, funded by the John Fell Fund, sits at the fascinating intersection of computational
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represent the research group at external seminars and conferences. To be considered, you must hold a PhD/DPhil in statistical genetics, quantitative genetics, bioinformatics, computer science, statistics
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First or strong Upper Second-class honours degree (2:1 with 65% average), or international equivalent, in Engineering, Computer Science, Physics, Mathematics, or a related discipline, and demonstrate
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sciences, AI, machine learning or related fields. Strong background and track record in the development of geospatial foundation models from multi-modal Earth Observations is essential as well as strong
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Excellent English written and spoken communication skills The following skills are desirable but not essential: Previous study in Geotechnical Engineering or Structural Engineering Ability to program in
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studentship in Synthetic andPhysical Organic Chemistry available from October 2026, to work under the supervision of Prof. Paul McGonigal and Dr Alyssa-Jennifer Avestro in the Department of Chemistry at