Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- CNRS
- Inria, the French national research institute for the digital sciences
- European Magnetism Association EMA
- Grenoble INP - Institute of Engineering
- Université Paris-Saclay (UPS)
- Arts et Métiers Institute of Technology (ENSAM)
- Centre de Mise en Forme des Matériaux (CEMEF)
- INSERM
- Institut Pasteur
- Institut de chimie des milieux et matériaux de Poitiers - Equipe SAMCat
- Nature Careers
- Research Institute for Environmental and Occupational Health (IRSET - UMR_S INSERM 1085)
- University of Paris-Saclay
- University of Reims Champagne-Ardenne (URCA)
- Université de Bordeaux / University of Bordeaux
- 5 more »
- « less
-
Field
-
Description of the offer : The condensed matter theory group at Institut Néel (CNRS, Grenoble) invites applications for a three-year PhD position in condensed matter physics starting from October
-
sensing, the continuous increase in the spatial resolution of satellite sensors considerably amplifies the computational requirements for analyzing ever more detailed observations. Physics-informed deep
-
6 Sep 2025 Job Information Organisation/Company CNRS Department Laboratoire de Physique des Solides Research Field Physics » Condensed matter properties Physics » Solid state physics Physics
-
process structures. However, this method is limited by the inductive bias of the predefined superstructure. Innovation: Increased computing power and advances in data science have popularized new algorithms
-
21 Aug 2025 Job Information Organisation/Company CNRS Department Laboratoire de Physique des Solides Research Field Chemistry » Physical chemistry Physics » Chemical physics Physics » Biophysics
-
collaborations, working with multiple stakeholders at the intersection of applied mathematics, computer science, and physics applications. You have excellent communication skills, both written and oral, in both
-
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
-
30 Aug 2025 Job Information Organisation/Company CNRS Department Groupe d'études de la matière condensée Research Field Physics » Condensed matter properties Physics » Solid state physics Physics
-
(FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission
-
Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description As a PhD student, his tasks will include carrying out a bibliography on the