Sort by
Refine Your Search
-
Listed
-
Employer
- CNRS
- Inria, the French national research institute for the digital sciences
- Université Grenoble Alpes
- Institut Pasteur
- Aix-Marseille Université
- CEA
- INSERM
- INSERM DR Paris 5
- Le Mans Université
- Universite de Montpellier
- University of Lille
- University of Luxembourg
- Université Bourgogne Europe
- Université de Caen Normandie
- 4 more »
- « less
-
Field
-
analysis of the ATLAS experiment data. The L2IT team plays a driving role within the ATLAS collaboration for the reconstruction of charged particle tracks using geometric deep learning (GDL). The person who
-
protocols for the chemical synthesis and electrochemical functionalization of porphyrins, including work under inert atmosphere, as well as separation and purification procedures (chromatography) Acquire and
-
-career scientist to develop cutting-edge machine learning approaches for understanding and designing pathogen antigens. This is a unique opportunity to help shape a new research program at the intersection
-
performed in strong collaboration with experimentalists expert in HT robot synthesis/characterization and advanced sorption techniques within the priority program France 2030 PEPR DIADEM AI-MAHC project (see
-
datasets, with a focus on omics data. This will include implementing and applying software analysis pipelines and interpreting disease-related data together with experimental and clinical collaborators
-
oxides, we will first develop and benchmark machine-learning interaction potentials of increasing complexity. Subsequently, we will deploy a combination of brute-force and rare-event sampling to isolate
-
of the multidisciplinary TrAI-SOC project, coordinated in collaboration with UGA's CERAG laboratory. SocSIM-K: https://lig-socsim-k.imag.fr/ LIG: https://www.liglab.fr/en Activities Design the game and define all of its
-
these predictions through targeted atomistic simulations. They will also contribute to the writing of scientific results and to exchanges with the project collaborators. The work will be carried out
-
Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 2 months ago
-tier machine learning and computer vision venues, actively participating in departmental seminars, and contributing to collaborative projects. Where to apply Website https://jobs.inria.fr/public/classic
-
be working on the development of machine learning methods for single-cell data and will require interactions with collaborators of the team. Required skills : We expect a candidate with a strong