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profile We welcome applicants with backgrounds in computer science, applied mathematics, or engineering. Essential: strong Python, deep learning experience (PyTorch), and foundations in calculus/linear
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factors, including geographic location, hydrodynamic conditions, and water depth. This PhD will build upon numerical modelling studies to employ physical modelling experiments in state-of-the-art facilities
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astrophysics, and reproducible research software development. Candidate Profile We welcome all applicants with a background in: • Physics, Astrophysics, Data Science, Applied Mathematics or a related field
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Application deadline: 01/12/2025 Research theme: Applied Mathematics, Continuum Mechanics, Nonlinear PDEs How to apply: https://uom.link/pgr-apply-2425 UK only due to funding restrictions. The
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click the 'Apply' button above, create your account, and use the link sent by email to start the application process. During the application process please select the PhD in Mathematics. *Important notes
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and resistance, and single cell RNA sequencing to characterise the resistant phenotype Apply mathematical frameworks to learn the dynamics of resistance evolution Combine experimental results with
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good Master’s degree in Mathematics, Statistics, Computer Science, Engineering, Physics, with good programming, analytical problem-solving, writing and presentation skills. Please direct project specific
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, Physical Sciences, Chemistry, Natural Science, Mathematics. Mode of study Full-time Start date 1 October 2026 Funding This PhD project is in a competition for a Faculty of Science funded studentship. Funding
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21 Nov 2025 Job Information Organisation/Company Swansea University Department Central Research Field Computer science Physics Researcher Profile First Stage Researcher (R1) Positions PhD Positions
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to how well they meet the following criteria: A first-class honours degree (or equivalent) in Engineering, Materials Science, Mathematics or Physics Excellent written and spoken communication skills in