39 machine-learning "https:" "https:" "https:" "https:" "https:" "UCL" scholarships at CNRS
Sort by
Refine Your Search
-
, coordination, quality & popularity. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR7332-CATLEV-056/Candidater.aspx Requirements Research FieldPhysicsEducation LevelMaster Degree or equivalent
-
understanding of the deposition process/film physical chemistry/optical properties relationships Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR5266-FREMER-003/Candidater.aspx Requirements
-
together expertise in physics, chemistry, nanoscience, and materials engineering. For more information about IS2M, please feel free to visit the website: https://www.is2m.uha.fr/ . The PhD candidate (M/F
-
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
-
strong attention on emotion analysis. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR7271-SERVIL-001/Candidater.aspx Requirements Research FieldComputer scienceEducation LevelPhD
-
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
-
collaboration (neuroscience, artificial intelligence, cognitive psychology) and aims to develop a novel theory of auditory scene analysis in the brain and in machines. In Marseille, the group focuses
-
Technologies INspiring Young scientists (DESTINY2, https://www.destiny-phd.eu/ ) is opening 24 doctoral positions hosted by universities, research centres, and laboratories in France (17), Spain (3), Germany (1
-
inhalation. Required skills : : organic synthesis, physico-chemical characterization, nanomedicine Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR7325-VALSEV-154/Candidater.aspx Requirements
-
, soil, and plants aid in the collection of real-time data directly from the ground. Based on these historical data predictive machine learning (ML) algorithms that can alert even before a problem occurs