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Field
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4D imaging, their high data rates limit their use in real-time applications. As a result, the available benchmark data for developing numerical models to predict transient multiphase flows is limited
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in the field of theoretical physics • the ability to perform numerical calculations Description: We are looking for one PhD student to work in the Department of Theoretical Physics at the Maria Curie
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Strong background in differential equations and numerical methods Solid programming skills e.g. Python, C++, Julia or similar Interest in interdisciplinary research bridging mathematics and environmental
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complexity and surface roughness, using computational methods like physical optics and the discrete dipole approximation. Supervisors Entry requirements Applications are invited from individuals with a
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related fields. Background on numerical methods and/or programming skills will be valued. Starting date: PhD contract should start as soon possible, in any case, no later than September 1st, 2026
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of the hotspot quantification with the nanoagent size and the optical fluence for instance, and (3) numerically modeling the hotspot measurement with the photoacoustic method to link the mesoscopic measurement
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research laboratories. ECL’s research activities are directed to and for the business world through numerous industrial contracts. The Ampère-lab is a joint research unit (CNRS, Ecole Centrale de Lyon, INSA
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in process engineering, design of experiments, numerical simulation, thin film characterizations by a combination of structural, chemical and physical methods (XRD, Raman, IRTF, SIMS, XPS, Ellipsometry
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of Aeronautics, collaborating with experts in DNS/LES, dynamical systems, and data‑driven modelling. Hands‑on experience with high‑performance computing, advanced numerical methods, and ensemble‑based optimisation
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involves developing state-of-the-art methods for image segmentation, detection, classification, predictive modelling, and image enhancement. We aim to build more trustworthy and robust AI models that can