Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
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 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
-
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
-
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
-
(collection, selection and validation of relevant data for the analysis and production of input scenarios to our models); * A contribution to the definition of our scientific computing environment, in
-
will work in a team of researchers, post-docs, and PhD students who are actively investigating various challenges and aspects of federated learning. The candidate should have knowledge in machine
-
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
-
skills and a particular talent for computational simulations, as the project involves advanced gyrokinetic modeling and possibly code development. An interest in high-performance computing will be a
-
to the Institute. One of the challenges will be to establish academic partnerships that will enable the projects to be carried out successfully, particularly the experimental aspects. The job position will be based
-
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