MSc in Industrial and Applied Mathematics - Grenoble
MSc in Industrial and Applied Mathematics - Grenoble
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HYBRID PHYSICS- AND DATA-DRIVEN METHODS FOR X-RAY FLUORESCENCE COMPUTED TOMOGRAPHY (XRFCT)
ESRF, Grenoble
Active learning with functional inputs: application to wind turbine reliability design
IFPEN, Paris (France) and LJK, Grenoble
3D Transcranial Ultrasound Localization Microscopy (ULM) via Inverse Problem Solving
IRIT, Toulouse (France)
Allocation de ressources pour les réseaux sans fil sécurisés militaires
Thales, Paris
Supervised Leverage Scores for Large-Scale Statistical Learning
G2ELAB, Grenoble
Neural Implicit Representation and operator learning for mutliscale problems in physics
INRIA, Strasbourg
Floating wind farms layout optimization for energy production improvement
IRPHE, M2P2 à Aix Marseille Université-Ecole Centrale Marseille
Développement d’un jumeau numérique pour la prédiction de la durée de vie résiduelle de réservoirs de stockage d’hydrogène
Douai, France
Physics-informed Machine Learning for Defect Detection in Medical Microbatteries
InjectPower, Moirans
New architectures in inverse geometry for spectral X-ray imaging
CEA Leti, Grenoble (France)
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