Sort by
Refine Your Search
-
Listed
-
Employer
- CNRS
- Nature Careers
- Inria, the French national research institute for the digital sciences
- European Magnetism Association EMA
- Grenoble INP - Institute of Engineering
- Institut Pasteur
- Anthogyr
- Arts et Métiers Institute of Technology (ENSAM)
- CEA
- Centre de Mise en Forme des Matériaux (CEMEF)
- INSERM
- University of Reims Champagne-Ardenne (URCA)
- Université Paris-Saclay GS Mathématiques
- Université de Bordeaux / University of Bordeaux
- 4 more »
- « less
-
Field
-
Arts et Métiers Institute of Technology (ENSAM) | Paris 15, le de France | France | about 12 hours ago
neural networks: Where we are and what’s next." Journal of Scientific Computing 92.3 (2022): 88. - Karniadakis, George Em, et al. "Physics-informed machine learning." Nature Reviews Physics 3.6 (2021): 422
-
be done via computer simulations, including Monte Carlo and molecular dynamics, combined with the use of statistical mechanics to predict e.g. phase transitions, nucleation rates, etc. The work will be
-
The Machine Learning for Integrative Genomics team at Institut Pasteur, headed by Laura Cantini, works at the interface of machine learning and biology, developing innovative machine learning
-
Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 12 days ago
Where to apply Website https://jobs.inria.fr/public/classic/en/offres/2025-09265 Requirements Skills/Qualifications Theory Background in Database/Logic Know how to write a proof Computer training and
-
by exploiting foundational machine-learning potentials such as MACE, SevenNet, or Orb-V3. The predictions will then be progressively refined and verified by DFT and, ultimately, tested experimentally
-
controlled via structural phase transitions or external fields. The successful candidate will develop and apply a range of theoretical and computational methods based on first-principles electronic structure
-
financement Where to apply Website https://www.abg.asso.fr/fr/candidatOffres/show/id_offre/133293 Requirements Specific Requirements Etudiant(e) titulaire d'un Master II en Statistique / Machine Learning
-
various disciplines: computer scientists, mathematicians, biologists, chemists, engineers, physicists and clinicians from more than 50 countries currently work at the LCSB. We excel because we are truly
-
, engineering, bioinformatics, machine learning, artificial intelligence) to support minimally invasive and targeted preventive and predictive medicine capable of limiting age-related functional disorders
-
correlations or more innovative methods of multivariate analysis and we anticipate here an opportunity of using machine learning that could help in predicting properties or classifying sources. A last step will