Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
the research activities entrusted to the officer take place: This ANR project lies at the interface between statistical learning (mainly deep learning) and combinatorial optimization (mainly stochastic and
-
the effects of these factors at the tissue level. The position will also involve simulating and optimizing complex models that integrate biological and physical data using advanced methods, such as physics
-
that integrate physical constraints (Physics-Informed Neural Networks), as well as for the implementation and optimization of the associated algorithms. The researcher will analyze and interpret experimental and
-
sustainability issues. In particular, the “Probability/Optimization” group focuses on the theoretical understanding of algorithms used in machine learning, for training large neural networks and tuning
-
technical excellence at the service of education, research, and innovation. As part of the project led by the SOTERN team in connection with the CREACHLABS grant—which aims to reconstruct, at the network
-
), led by SNCF. The project aims to develop a methodology and tools for anticipation, spatial optimization, and support of SERMs (Metropolitan Regional Express Services) in French regions. This project is
-
foundations and principles of Machine Learning, Linear Algebra (vectorial and matricial operations, optimization), with a particular focus on Neural Networks (pytorch), 3) problem solving skills, 4) familiarity
-
its MIMENTO facility part of the national Renatech network. The fabrication will start from the design of masks, fabrication itself and will also cover all steps required to control whether
-
postdoctoral fellowship at ENS Lyon in the field of machine learning. The position is part of the research project "Neural networks for homomorphic encryption", funded by Inria. Fully homomorphic encryption (FHE
-
epidemic data, with the aim to increase our understanding of how pathogens spread in populations, assess the impact of interventions, support policy making and optimize control strategies. Our approach is