223 machine-learning "https:" "https:" "https:" "The University of Edinburgh" PhD positions in France
Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- CNRS
- European Synchrotron Radiation Facility
- Ecole Centrale de Lyon
- Inria, the French national research institute for the digital sciences
- Nantes Université
- Universite de Montpellier
- Nature Careers
- Université de Caen Normandie
- Aix-Marseille Université
- UNIVERSITE DE TECHNOLOGIE DE COMPIEGNE
- IFP Energies nouvelles (IFPEN)
- Université Paris Cité
- Université Sorbonne Nouvelle
- CEA
- CEA-IBS
- CY Cergy Paris University
- Centrale Lille Institut
- Ecole Centrale de Nantes
- Institut de Recherche pour le Développement (IRD)
- LEM3
- Sorbonne University, IMPMC-UMR 7590
- Université de Poitiers
- cnrs
- APS Coatings
- Aix-Marseille University / CNRS
- BRGM
- BeFC and Univ. Grenoble Alpes, CNRS, 38000 Grenoble, France
- CNRS UMR6614 CORIA
- Centrale Supelec
- CentraleSupélec Rennes campus
- ENVT INRAE
- Ecole Normale Supérieure
- Ecole des hautes études en sciences sociales
- European Magnetism Association EMA
- Fondation nationale des Sciences Politiques
- French National Research Institute for Agriculture, Food and Environment (INRAE)
- Grenoble INP - Institute of Engineering
- IC2MP
- INERIS
- INRIA
- INSA Rennes
- INSERM 1116
- Inria – Bivwac team
- Inserm UMR-S 1250
- Institut National des Sciences Appliquées de Lyon
- Institut Pasteur
- Institut of Mathematics of Marseille
- Institut polytechnique UniLaSalle
- L2CM/Université de Lorraine
- LSPM , CNRS 3407
- Science me Up
- Sorbonne University
- Sorbonne Université, CNRS, Inserm
- UTTOP
- Universite Gustave Eiffel
- University of Montpellier
- University of Réunion
- University of Strasbourg
- Université Claude Bernard Lyon 1
- Université Clermont Auvergne / CAP Europe
- Université Gustave Eiffel
- Université Jean Monnet
- Université Paris 1 Panthéon Sorbonne
- Université Toulouse Capitole
- Université côte d'azur
- Université du Littoral Côte d'Opale
- École Normale Supérieure
- 57 more »
- « less
-
Field
-
Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 12 days ago
Computer Science, Machine Learning, Bioinformatics, Computational Biology, or related fields. Strong experience in deep learning, ideally with PyTorch. Proven experience with graph neural networks, geometric deep
-
and behaviour of VCP/p97. This work will improve our understanding of how essential protein machines are regulated in cells and may help inform future strategies for selectively targeting proteostasis
-
the "Machine Learning and Gene Regulation" team led by William Ritchie, specializing in bioinformatics and post-transcriptional regulation. The scientific environment at the IGH — international seminars, journal
-
plasticity platform. Different machine learning strategies will be explored to capture the complex relationships between microstructural features and mechanical responses. In particular, the project will
-
Inria, the French national research institute for the digital sciences | Palaiseau, le de France | France | about 1 month ago
leverage machine learning techniques to bypass IO bottlenecks in the context of physics simulation on high-performance computing (HPC) clusters. This work is thus placed in a broader ``Machine Learning for
-
bone regeneration and the treatment of brain tumors Where to apply Website https://emploi.cnrs.fr/Offres/Doctorant/UMR7342-CECBAR-007/Default.aspx Requirements Research FieldEngineeringEducation LevelPhD
-
competition open to students. Details are available on our web site, see below “how to apply”. More than 200 thesis projects are proposed, and the list is available on the website: https://adum.fr/as/ed
-
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
-
at CNRS in the Institute of Chemistry of Media and Materials of Poitiers (IC2MP - UMR CNRS 7285 - https://ic2mp.labo.univ-poitiers.fr/ ) in the Catalysis and Non-conventional media team, under
-
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