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‑bounded turbulence. This short, intensive 9‑month position offers an exciting opportunity to advance fundamental turbulence research using DNS/LES and data-driven optimisation techniques. In this role, you
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, programming competence for research (e.g., Python and/or MATLAB and reproducible workflows), and the ability to design and execute rigorous computational experiments. Familiarity with optimisation, networks
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in polymer, composites, or soft-matter modelling, scientific programming, and machine-learning-supported optimisation is an advantage. PhD Position 3 – Computational–Experimental Integration This PhD
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