Sort by
Refine Your Search
-
Category
-
Program
-
Field
-
staff position within a Research Infrastructure? No Offer Description A 2-year engineer or post-doctoral position funded by an ANR/DFG grant is open from the beginning of 2026 to work on the international
-
to collaboratively train machine learning models without sharing their data. Instead, clients exchange local model updates with a central server, which uses them to improve a global model. While this paradigm enhances
-
ANTARES tools, and a regional-scale model, based on REMix. One of the key challenges of the project is to consolidate a set of input data consistent across Europe, with several variants on certain key
-
the energy systems modelling team within I-Tese. The position is based in Saclay, with occasional needs to travel to Grenoble. LET'S TALK ABOUT YOUR SKILLS AND GOALS : Education: PhD (Bac+8) in Energy
-
required. This 6-month internship is part of the DIADEM-PEPR national project, and is designed for highly motivated candidates. The intern will have the opportunity to collaborate closely with PhD students
-
challenges and the role of innovation processes and their integration into society. This work is carried out within the framework of projects, with both institutional and academic partners. The cluster now
-
of quantitative methods of data processing and analysis, optimization and scientific programming, in the following areas. * The search, structuration and analysis of economic, energy and emissions-related data
-
challenges •Motivation to pursue a PhD in the same field The application should include CV, cover letter, and transcript of records. We offer: An internship in the heart of the Grenoble metropolitan area
-
The detection of out-of-distribution (OoD) samples is crucial for deploying deep learning (DL) models in real-world scenarios. OoD samples pose a challenge to DL models as they are not represented
-
the claims. The position is hybrid : • Reading, research and writing. • Coding and implementation. Rejoignez-nous en Stage ! The latest advances on AI and LLMs (and their variations) mean a next stage on