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A fully-funded 3.5-year PhD studentship (covering UK home student fees and an annual stipend of £21,805) is available in Applied Mathematics for Formulated Products. The PhD will be under
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This PhD project will develop mathematical models to investigate population dynamics in biological systems. Combining dynamical systems theory, mathematical modelling, and data-driven approaches
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A PhD studentship is available for commencement October 2026 – January 2027 as part of the first Cohort of a new EPSRC Centre for Doctoral Training in UK Semiconductor Industry Future Skills* led by Swansea University in partnership with the University of Leeds. The PhD studentship will be: 4...
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Application deadline: 30.09.26 Research theme: Applied Mathematics, Thermal-Fluid-Dynamics, Multi-Physics How to apply: https://uom.link/pgr-apply-2425 UK only This 4 year PhD project is fully
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About the project: Multiscale Molecular Dynamics: a mathematical exploration of coarse-graining Supervisor: Dr Thomas Hudson, University of Warwick When applied to molecular dynamics simulations
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new approach has emerged that integrates data and mathematical models through neural networks. This has led to the development of a method for solving partial differential equations (PDEs) known as
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embedded decision-makers who interpret health risks through multiple, often competing, social identities. Traditional epidemic models offer mathematical precision but fail when confronted with this reality
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quantum channel, post-quantum mathematics, and traditional classical security, into a single, unified encryption key. Crucially, the system is expected to work with the infrastructure organisations already
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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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fraction of the data we collect. In this project, we will therefore seek to use advanced mathematical and machine learning approaches to identify hidden information within cardiac electrical signals that is