Sort by
Refine Your Search
-
9 Mar 2026 Job Information Organisation/Company CNRS Department PRAXILING Research Field Language sciences Language sciences » Linguistics Language sciences » Languages Researcher Profile First
-
:this project pioneers a new paradigm of General Genome Interpretation (GenGI) models by combining DNA Large Language Models (DLLMs) with Deep Neural Networks to predict human phenotypes directly from Whole Exome
-
after thermal treatment to maintain gas flow and optimal detection. The PhD student will learn the synthesis of nanomaterials and their integration with 3D printing techniques. The synthesized materials
-
al. (2023). Positive AI in Education (P-AIED): A Roadmap. Journal of AIED. [7] Bonino G., Sanmartino G., Gatti-Pinheiro, Papotti P ., Troncy R., Michiardi P . (2024). Fine Tuning a Large Language Model
-
transnational hub for research and education in quantum sciences, affiliated with the University of Strasbourg and the CNRS. It builds on Strasbourg's long-standing tradition of interdisciplinary research
-
- Demonstrate motivation and commitment to your work with good team spirit - English: starting level B2 according to the European framework Website for additional job details https://emploi.cnrs.fr/Offres/CDD
-
programming) is a plus. The working language of the team is English: a good level is required, as well as good communication skills to ensure efficient collaboration between the labs. Good time management and
-
evaluation of virtual tutors (recommendation systems) by working at the intersection of education sciences, psychology, and data engineering. The main tasks of the successful candidate will be: - Designing and
-
applications (https://dcm.univ-grenoble-alpes.fr/research/ingenierie-et-interactions-… ). The candidate will be based Grenoble, with secondments in other laboratories of the network. Grenoble is the largest city
-
together expertise in physics, chemistry, nanoscience, and materials engineering. For more information about IS2M, please feel free to visit the website: https://www.is2m.uha.fr/ . The PhD candidate (M/F