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; • mathematical modelling, development of FEM models (preferably using Ansys), and simulations, particularly in the areas of electromagnetics, power losses, etc.; evaluation, verification, and optimization
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advanced statistical modelling, econometrics or machine learning with a particular focus on analysing large-scale behavioural data? Are you interested in developing new methodological approaches capable
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CNRS. The supervisory environment will bring together expertise in the humanities and social sciences, anthropology, climate modelling and computer science, with Patricia Cadule, Philippe Hunel and
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patient outcomes. More information about the lab can be found here: https://www.nathlab.org As a successful candidate, you will: Develop AI/ML models to predict patient outcomes, treatment response, disease
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Research Infrastructure? No Offer Description Mission: Design and carry out the control of operations with turbine pumps. Functions to be developed: Develop advanced models of hydraulic pumping stations in
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- Experience in modelling aquatic systems - Fieldwork experience - Ability to interact with non-scientific stakeholders Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR5175-AXEGAY
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 6 days ago
for the avatarization process, i.e. obtaining a 3D, animatable model from one or several images. This is a very hard problem as shape fidelity, animatability, fast computation time and low number of required input
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modeling of complex, multi-site datasets. In this role, you will bridge the gap between complex data infrastructure, cutting-edge machine learning, and synthetic data generation—building automated
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the interplay between quantum mechanics and gravity in the low-energy regime, with particular emphasis on theoretical and phenomenological models in which gravity is described as a quantum, semiclassical, or
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pavement networks. This position will focus on modeling and optimizing pavement performance under evolving climate and hazard conditions. This position will advance modeling of pavement life-cycle