Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Ecole Centrale de Lyon
- Inria, the French national research institute for the digital sciences
- CNRS
- Centrale Supelec
- Centre Euopéen de Recherche et de Formation Avancée en Calcul Scientifique (CERFACS)
- European Synchrotron Radiation Facility
- Grenoble INP - Institute of Engineering
- IFP Energies nouvelles (IFPEN)
- Nantes Université
- Université Gustave Eiffel
- Université Toulouse Capitole
- 1 more »
- « less
-
Field
-
energy consumption by 5–6% and decrease carbon dioxide emissions by around 5%, the current renovation rate remains below 1% per year. In this context, the HORIZON-CL5-2024-D4-02-02 funded project RADIANCE
-
, materials science, and physics. Supported by 19 countries, the ESRF is an equal opportunity employer and encourages diversity. Context & Job description Thesis subject: Machine Learning for Neutron
-
growth methodology based on real-time growth monitoring enabled by advanced in situ characterization tools (RHEED, ellipsometry, curvature measurements, flux monitoring), coupled with machine-learning (ML
-
Description The overarching mission is to conduct research combining machine learning, data assimilation, and physical modeling to enhance short-term (days/weeks) forecasts of Arctic sea ice conditions. The
-
details, the following tasks will be carried out in parallel: 1. The PhD student will extend the current database (see, J. Chem. Theory Comput.2025, 21, 8010−8033) by obtaining highly-accurate reference
-
Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | about 1 month ago
these methods. They will then be applied by him (her) to selected case studies for mapping the surfaces of Mars, the Moon and Earth using data from current space missions (MRO NASA, TGO ESA, EnMAP DLR). Context
-
Technologies de l'Information et de la Communication Field: Telecommunications / Machine Learning / Statistical Signal Processing. Research Lab: L2S (Laboratoire des Signaux et Systèmes) Advisor: Antoine BERTHET
-
with machine-learned quantum mechanical force fields trained on diverse chemical fragments. Sci. Adv.10, eadn 4397(2024) Where to apply Website https://ecolecentraledelyon.recruitee.com/ Requirements
-
(Position P): Agricultural AI data integration and management based on LLM In the context of the MSCA JD project GreenFieldData https://www.eu4greenfielddata.eu/ GreenFieldData: IoRT Data Management and
-
disciplines (electronics, electrical engineering, mechanics, biology, etc.). In particular, expertise has been developed in the design of systems obtained by interconnecting subsystems, for which