70 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "University of St" "St" "St" scholarships at CNRS
Sort by
Refine Your Search
-
macro- scales at IJL, and to train machine learning models to predict the microstructure evolution at larger scales and longer times at SIMAP lab and Laboratoire Analyse et Modélisation pour la Biologie
-
stochastic modeling, Bayesian inference, data fusion and modern machine learning. Its research activities span various application domains such as security, non-destructive testing, infrared imaging and
-
PRIME (Projet de recherche inter-instituts multi-équipes) interdisciplinary CNRS programme (http://www.cnrs.fr/mi ). The PhD candidate will be co-supervised by Florence Niedergang (Team « Biology of
-
, C.; Pineau, N.; Perrier, A. J. Chem. Theory Comput. 2020, 16 (11), 7017–7032 https://doi.org/10.1021/acs.jctc.0c00762 . (b) Villegas, O.; Serrano Martínez, M.; Le Bras, L.; Ottochian, A.; Pineau, N
-
Network, including attending training courses and work placements at other sites. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR5588-DELDEB-006/Candidater.aspx Requirements Research
-
congested architectures. For more information, visit my professional website: https://iscr.univ-rennes.fr/daniel-muller Where to apply Website https://emploi.cnrs.fr/Offres/Doctorant/UMR6226-DANMUL-005
-
part of the research theme 'Planets and Moons', and will be integrated within the ERC - IceFloods (https://lpg-umr6112.fr/en/erc-icefloods/ ). This thesis will aim to characterize the contribution of ice
-
companies. Where to apply Website https://emploi.cnrs.fr/Offres/Doctorant/UMR7261-AICBEL-049/Default.aspx Requirements Research FieldBiological sciencesEducation LevelPhD or equivalent Research
-
https://emploi.cnrs.fr/Offres/Doctorant/UMR8523-ARNMUS-007/Default.aspx Requirements Research FieldPhysicsEducation LevelPhD or equivalent LanguagesFRENCHLevelBasic Research FieldPhysicsYears of Research
-
Contributions - A formal framework for modeling well-being in adaptive learning - A well-being-aware student simulation model - A multi-objective RL framework - An orchestration architecture - Experimental