Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- CNRS
- Inria, the French national research institute for the digital sciences
- Nature Careers
- Ecole Centrale de Lyon
- Nantes Université
- Aix-Marseille Université
- Universite de Montpellier
- CEA
- CNRS UMR6614 CORIA
- Centrale Supelec
- CentraleSupélec Rennes campus
- European Synchrotron Radiation Facility
- Fondation nationale des Sciences Politiques
- Grenoble INP - Institute of Engineering
- IFP Energies nouvelles (IFPEN)
- INRIA
- Inria – Bivwac team
- Inserm UMR-S 1250
- Institut National des Sciences Appliquées de Lyon
- Institut Pasteur
- Institut de Recherche pour le Développement (IRD)
- Institut polytechnique UniLaSalle
- LEM3
- Science me Up
- Sorbonne University, IMPMC-UMR 7590
- UNIVERSITE DE TECHNOLOGIE DE COMPIEGNE
- UTTOP
- University of Strasbourg
- Université Claude Bernard Lyon 1
- Université Gustave Eiffel
- Université Paris 1 Panthéon Sorbonne
- Université Sorbonne Nouvelle
- Université Toulouse Capitole
- Université côte d'azur
- cnrs
- 25 more »
- « less
-
Field
-
Research Framework Programme? Horizon Europe - ERC Is the Job related to staff position within a Research Infrastructure? No Offer Description The Machine Learning for Integrative Genomics team (https
-
Description The doctoral student will study the integration of molecular motors into supramolecular self-assemblies, and how the mechanical work generated by the actuation of the molecular machine will
-
expertise in HCI and education, including adaptive gamification, engagement, learning analysis, and the design of motivational affordances in education. As part of the project, the PhD student will work with
-
at Inria Bordeaux has several open PhD positions in human-computer interaction and information visualization. The first round of interviews will take place April 20–24; if you're interested, please contact
-
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
-
. Bastian Betthaeuser working on the ERC-funded project ‘Understanding the Consequences of Major Health Crises for Education: Learning from the COVID-19 Pandemic (LEARN)’. The LEARN project: Health crises
-
differential equation models of bacterial persistence. A particular challenge, both for simulation and for machine learning, lies in the high dimensionality of these equations, which causes grid-based numerical
-
, whilst interacting with a wider, interdisciplinary team within the GEOSIC project. Collaborations within the GEOSIC project are foreseen, with a postdoc in international law who will lead the development
-
Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 11 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
-
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