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candidates by email with delivery receipt, subsequently beginning the application of the selection methods to the admitted candidates. 9. Method(s) and evaluation criteria: The selection methods consist of a
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of the selection methods to the admitted candidates. 9. Method(s) and evaluation criteria: The selection methods consist of a Scientific and Curricular Path Assessment (SCPA), weighing 90%, and an Interview (I
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emulator of sea ice dynamics, trained using high-fidelity numerical simulations, (ii) variational data assimilation methods, and (iii) a simplified representation of physical processes in the atmospheric
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) and the development of advanced numerical models considering the thermo-mechanical behaviour of structural elements. 1. Applicable Legislation: This tender, open by Decree of 29/12/2025, by the Rector
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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
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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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, Computational Science, Physics, Engineering, or a closely related discipline Strong background in differential equations and numerical methods Solid programming skills e.g. Python, C++, Julia or similar Interest
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translational medicine, improving diagnostics and healthcare solutions. For more information, please visit our page . Your role We are looking for a highly motivated PhD candidate interested in AI-based methods
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context The position is based in the Mechanical Engineering Department and the Roberval Laboratory,within the Numerical methods in mechanics team. The successful candidate will report to the UTC project