Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- CNRS
- Inria, the French national research institute for the digital sciences
- Grenoble INP - Institute of Engineering
- IMT Mines Ales
- Institut Pasteur
- Nature Careers
- Arts et Métiers Institute of Technology (ENSAM)
- Ecole Normale Supérieure de Lyon
- IFP Energies nouvelles (IFPEN)
- IMT Atlantique
- Universite de Montpellier
- Université Claude Bernard Lyon 1
- Université de Bordeaux / University of Bordeaux
- Université de Strasbourg
- Aix-Marseille Université / CNRS
- Bioptimus
- CEA-Saclay
- Centre de recherche en Automatique de Nancy
- ESRF - European Synchrotron Radiation Facility
- Ecole Normale Supérieure
- European Synchrotron Radiation Facility
- Fondation Nationale des Sciences Politiques
- Grenoble INP - LCIS
- IMT - Atlantique
- IMT Mines Albi
- INSA Strasbourg
- Institut Pierre Louis d'Epidémiologie et de Santé Publique (IPLESP)
- Institute of Image-Guided Surgery of Strasbourg
- Nantes Université
- Télécom Paris
- UNIVERSITE DE TECHNOLOGIE DE COMPIEGNE
- Universite Grenoble Alpes
- University Paul Sabatier
- University of Avignon
- University of Strasbourg
- Université Bourgogne Europe
- Université Grenoble Alpes
- Université Savoie Mont Blanc
- Université Sorbonne Paris Nord
- Université de Caen Normandie
- l'institut du thorax, INSERM, CNRS, Nantes Université
- université Strasbourg
- 32 more »
- « less
-
Field
-
difficult to couple with basin simulators. Geochemical metamodels, particularly those based on machine learning, can significantly reduce computation times while maintaining physico-chemical consistency
-
Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | about 2 months ago
candidate will join the Inria centre of the University of Lille and be part of the LOKI research group, specialized in Human-Computer Interaction. It is affiliated with the CRIStAL laboratory (UMR 9189) and
-
Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 3 months ago
program. The aim is to use Python code to identify the machine learning profile used in order to identify good and bad practices. The objective of this position is to develop a Python parser, a tool for
-
advanced seismic methods (including array processing, machine learning, and potentially distributed acoustic sensing) to develop novel approaches for monitoring unsteady and non-uniform flood flows across
-
standard Python libraries for machine learning, in particular PyTorch. Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR6072-DAVTSC-008/Default.aspx Work Location(s) Number of offers
-
ExperienceNone Additional Information Eligibility criteria - Holding a doctoral degree in particle physics - Experience in C++ and Python programming is desired - Experience in training and using Machine Learning
-
Inria, the French national research institute for the digital sciences | Bron, Rhone Alpes | France | about 2 months ago
attention, prediction and learning, as well as the intricate coupling between action and perception. Our research combines (1) cross-species in-vivo observations of brain electrical and neurotransmitter
-
reliability. · Understanding of hardware accelerators for AI and their operation. · Familiarity with machine learning workloads (e.g., CNNs). As this is a research position, it is necessary
-
of Python programming and a deep learning framework, preferably PyTorch. Solid knowledge of image processing, inverse problems, and machine learning. Significant research experience, demonstrated by quality
-
Statistical Signal Processing, Data Science, Machine Learning with an interest in astrophysics - or a PhD in Astroparticle Physics with skills and professional experience in experimental data analysis. Website