32 machine-learning-"https:"-"https:"-"https:"-"https:"-"ISCTE-IUL" uni jobs in France
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Apprenticeship Status (FISA); Specialized training (master's degrees, specialized master's degrees, continuing education); Doctoral training. Your expertise in applied mathematics, machine learning, and biosignal
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Ecole Polytechnique, in Palaiseau, France, and will consist of theoretical and numerical modellng. The thesis will consist of modeling turbulence using Machine Learning methods, in particular Physics
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Arts et Métiers Institute of Technology (ENSAM) | Paris 15, le de France | France | about 1 month ago
can be developed using FPBTs and FBGs coupled with physically informed (PI) machine learning algorithms. SMATSH scientific objectives are then to develop computationally efficient models to predict
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, and deep learning, our goal is to identify new antibiotics and their modes of action. To make these methods accessible to the scientific community, we are developing an open-source platform that will
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est requise. Bonne capacité de communication en anglais.Master degree or equivalent, with experience in one or more of the following fields: signal processing, machine learning, applied mathematics. A
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imaging and machine learning. The main task of the successful candidate will be to help redefine certain traditional criteria of comparative anatomy used in archaeozoology and to establish new criteria
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The CAR-DD project, for which we are recruiting a research
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Inria, the French national research institute for the digital sciences | Saint Martin, Midi Pyrenees | France | 2 months ago
-parametric Surrogates with Active Learning, SC AI4S 2024: https://hal.science/hal-04712480v1 Training Deep Surrogate Models with Large Scale Online Learning, ICML 2023: https://hal.science/hal-04102400v1 Loss
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, Éducation en Océanie” [https://heliceo.huma-num.fr/ ] est un consortium scientifique du CNRS, prévu sur plusieurs années (2025–2030), et pour l’instant financé pour les 12 premiers mois. Il vise la
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de modèles hybrides d'arbres fruitiers en 3D, combinant modélisation structure-fonction (FSPM) et méthodes de deep learning, afin d'améliorer la conception de vergers agroécologiques résilients. Les