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. Knowledge of fluid mechanics or CFD is essential. Experience in programming (Fortran/C++/Python) and knowledge of acoustics and solid mechanics would be desirable. To apply, please provide a cover letter
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. Experience in programming (Fortran/C++/Python) would be an advantage. Funding Details Stipend of £20,780 + Tuition fee + funding for training and conferences
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(ED&I) and alternative routes into research. Desirable skills include experience in modelling and simulation (MATLAB/Simulink, Python), energy systems, and intelligent control methods. Applicants should
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predictive checking, model comparison) • Computational modelling with Python and Dynesty, JAX, NumPyro, and PyTorch • Use of asteroseismic and spectroscopic survey data (e.g. PLATO, Gaia, APOGEE, TESS) • High
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candidate with a strong quantitative background (e.g., in computer science, statistics, bioinformatics). The following skills are essential for this project: Excellent programming skills in Python. Proven
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/Simulink/Python for modelling, simulation, and control design. Experience with genset systems, hybrid powertrains, or real-time control applications is highly desirable. A practical interest in system