Sort by
Refine Your Search
-
Listed
-
Employer
- CNRS
- Nature Careers
- INSTITUT MAX VON LAUE - PAUL LANGEVIN
- Universite de Montpellier
- Aix-Marseille Université
- IFP Energies nouvelles (IFPEN)
- IMT Atlantique
- IMT Mines Ales
- INSA Strasbourg
- Inria, the French national research institute for the digital sciences
- Inserm PACA Corsica
- Institut Pasteur
- Télécom Paris
- UNIVERSITE DE TECHNOLOGIE DE COMPIEGNE
- University of Strasbourg
- Université Savoie Mont Blanc
- Université de Bordeaux / University of Bordeaux
- École nationale des ponts et chaussées
- 8 more »
- « less
-
Field
-
silico identification of candidate developmental pathways explaining tradeoff variation. Contribute to advanced statistical analyses and interpretable machine learning approaches (in collaboration with
-
evaluation process etc please visit: ambercofund.eu Minimum requirements • PhD in structural biology/chemistry, with excellent knowledge of biochemistry and molecular biology, including experience in protein
-
collaboration between the Exa-SofT and the Exa-DI projects and better support multi-linear algebra and tensor contractions in exascale CSE applications and Machine Learning. As part of the collaborative process
-
difficult to couple with basin simulators. Geochemical metamodels, particularly those based on machine learning, can significantly reduce computation times while maintaining physico-chemical consistency
-
Learning within the Department of Education and Social Work at the University of Luxembourg. The person will be part of a team in the dynamic organisational context of a growing, globally connected research
-
) Positions PhD Positions Country France Application Deadline 15 Feb 2026 - 01:00 (UTC) Type of Contract Temporary Job Status Full-time Offer Starting Date 1 Apr 2026 Is the job funded through the EU Research
-
Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 3 months ago
disseminate the developed methods. Where to apply Website https://jobs.inria.fr/public/classic/en/offres/2025-09574 Requirements Skills/Qualifications PhD in Computer Science, Machine Learning, Bioinformatics
-
on studying the principles of neural computation through recurrent neural networks, dynamical systems theory, and machine learning. - Develop mathematical and computational models of neural networks - Analyze
-
of Learning and Development (LEAD- UMR-5022), at the Université Bourgogne Europe, CNRS (https://lead.ube.fr/ ) . To apply, please submit: - CV - Cover letter describing your interest in the position
-
or equivalent Skills/Qualifications - PhD in bioinformatics or related subjects - Expertise in python coding - Experience and good understanding of neural networks and machine learning - Fluent written and spoken