Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- CNRS
- Inria, the French national research institute for the digital sciences
- Institut Pasteur
- 3IA Côte d'Azur
- Grenoble INP - Institute of Engineering
- Université de Caen Normandie
- INSERM
- UNIVERSITE DE TECHNOLOGIE DE COMPIEGNE
- Université Grenoble Alpes
- Université de Bordeaux / University of Bordeaux
- BRGM
- CNRS-LIRMM
- DI ENS
- ECE - Paris - Ecole d'ingénieurs
- ESSEC Business School
- Grenoble INP - UGA
- IMT Atlantique
- IMT Mines Ales
- INSA LYON
- INSA Strasbourg
- INSERM DR Paris 5
- IRCM - Cancer Research Institute of Montpellier
- Inria
- LEAD CNRS UMR5022, Université de Bourgogne
- Le Mans Université
- Luxembourg Institute of Science and Technology (LIST)
- Mines Paris-PSL
- Renault Jean-Hugues
- Télécom Paris
- Universite de Montpellier
- University of Lille
- Université Bourgogne Europe
- Université Savoie Mont Blanc
- Université de Lille
- Université de Picardie - Jules Verne
- Université de Technologie de Belfort-Montbéliard
- 26 more »
- « less
-
Field
-
oxides, we will first develop and benchmark machine-learning interaction potentials of increasing complexity. Subsequently, we will deploy a combination of brute-force and rare-event sampling to isolate
-
multidisciplinary unit, with expertise in mathematical modelling and machine learning, wet-lab expertise in multiplex serological and genetic assays, expertise in diagnostic development and production, and expertise
-
of complex mechanisms in large biological objects. (3) Computational modeling of transition pathways in high-dimensional systems. Prior experience in computer programming, machine learning algorithms, and
-
interaction of magnetic skyrmions in nanodevices. The second objective will be to develop an inverse-design code combining micromagnetic simulations and machine learning methods, in order to optimize skyrmionic
-
Inria, the French national research institute for the digital sciences | Sophia Antipolis, Provence Alpes Cote d Azur | France | 3 months ago
Website https://jobs.inria.fr/public/classic/en/offres/2026-10248 Requirements Skills/Qualifications Expertise in computer graphics and AI, possibly including physical simulation and PDEs. Knowledge of C/C
-
This multidisciplinary thesis requires strong expertise in several of the following areas: Robotics, computer vision, control systems, dynamic modeling, signal processing, or machine learning
-
to correlate polymerisation kinetics, macromolecular architecture, morphological evolution and drug encapsulation mechanisms. Beyond experimental work, the project will integrate machine learning approaches
-
learning methods. Research Activities Conduct research on topics related to deep learning, reinforcement learning, the integration of machine learning and operations research, robust AI, trustworthy AI, and
-
. Depending on the candidate's profile and interests, the thesis may develop along one or several of the following directions, at the crossroads of statistical physics, biophysics, and machine learning
-
/recruitment/2-year-postdoctoral-p… ** Project ** Computational and high field MRI characterization of learning and decision-making ** Supervisor and contact ** Dr Florent MEYNIEL https://www.unicog.org/lab