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Field
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hydrogeology, seawater intrusion, freshwater lenses, and sustainable groundwater extraction. The research includes using analytical, numerical, laboratory, and field-constrained approaches to investigate coastal
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well as with Thomas Sales at University College London on the EPSRC funded project Numerical Analysis Of Free Boundary Problems From Biology. The project considers the numerical analysis of Stefan-type problems
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sustainable manner. Key Responsibilities: Develop advanced experimental apparatus to investigate coupled multiphysics processes in porous materials (e.g., clay). Develop constitutive models and numerical tools
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for temporal quantum learning. Construct and analyse quantum reservoir-induced kernels and associated finite-sample bounds. Run numerical simulations and benchmarks validating the theory. Publish in leading
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numerical models. • Perform simulations using OpenFOAM, or other relevant computational tools, including HPC platforms. • Analyse and validate simulation results, and publish research
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, combining experimental photonics with numerical modelling and modern machine-learning and optimisation techniques. The research will include coherent beam combination, programmable beam shaping, optical
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, numerical experiments, literature review and research writing. Qualifications Applicants should have a doctoral degree or an equivalent qualification in Mathematics, Applied Mathematics, Operations Research
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, developing complex numerical models and validating them against datasets generated by collaborators. The candidate will use surrogate modelling and data-centric approaches to complement simulations
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(NTU), Singapore. The successful candidate will work on research related to the hydrodynamic behavior of floating structures. Key Responsibilities: Conduct wave flume tests and develop numerical
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turbulent flow simulations. 3. Background in numerical methods and scientific computing. 4. Proficiency in Python programming and high-performance computing on modern GPU-based platforms