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particular in quantum phase-space methods. You have a proven experience in numerical methods and programming, particularly the simulation of PDEs. Excellent written and spoken English. What we offer: Work-life
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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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of chemistry such as analytical chemistry, physical chemistry, materials chemistry, inorganic and structural chemistry and organic chemistry. The research projects are numerous, from theory to experiment, from
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methods for quantitative characterisation and forecasting of deep fluid circulation" (task leader: R. Chassagne) within the "PEPR sous-sol bien commun PC9", and will therefore use data from the Rhine Graben
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researchers. The centre is internationally recognized, with interests spanning a broad range of research areas in biostatistics, machine learning and epidemiology and numerous collaborations with leading bio
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Inria, the French national research institute for the digital sciences | Pau, Aquitaine | France | 3 months ago
science as part of the ERC Starting Grant project Incorwave, which aims to develop advanced numerical and mathematical methods for passive seismic imaging. The research will focus on two key-directions: (1
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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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, Physics (computational or solid-state focus), or a related field Strong interest in additive manufacturing, topology optimization, computational design, and process modelling Background in numerical methods
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as instructed. Purpose As a part of a multi-disciplinary, integrated research team, the candidate will participate directly in efforts to ground deformation assessment and numerical modeling of ground
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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