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mathematical tools for understanding the connection between microscopic particle dynamics and macroscopic continuum descriptions. Funding notes: For UK and EU candidates: Funding may be available through a
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-026-01104-3. Preferred skills/knowledge Applications are invited from graduates in quantitative disciplines such as computer science, AI, and mathematics, but we also encourage applications from
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. Programming, coding, and experimental hardware skills (desirable). Strong analytical and mathematical capabilities. A passion for research and a willingness to learn. Excellent presentation, communication, and
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; Applied Mathematics; or a closely related quantitative discipline. Applicants from other backgrounds will be considered where they can demonstrate relevant electronics, instrumentation, programming
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University of Oxford Researcher in Genomic Discovery from Wearables Grade 7: £39,424 - £47,779 per annum including Oxford Weighting Allowance Oxford Population Health (the Nuffield Department of Population Health) provides an excellent environment for multi-disciplinary research and teaching and...
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suitable analogues of Morley rank, U-rank and dp-rank in positive theories, and will explore new applications of the results obtained. Students should have some knowledge of mathematical logic and preferably
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Northeastern University London Fully Funded PhD Scholarship in Computer Science Reliable Quantum Statistics Northeastern University London > Computing, Mathematics, Engineering & Natural Sciences
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mathematics. You will undertake a single, ambitious research project: to begin the formalisation of the local Langlands correspondence for GL₂(F) in the Lean interactive theorem prover by leveraging AI agents
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Application deadline: All year round How to apply: uom.link/pgr-apply-2425 This 4-year project is fully funded; students who are eligible to pay tuition fees at the Home rate are eligible to apply. The successful candidate will receive an annual...
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, physiology-aware models of bacteriophage infection by combining high-throughput single-cell microscopy, microfluidics, image analysis, and mathematical modelling. The work will contribute to understanding how