Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- CNRS
- Inria, the French national research institute for the digital sciences
- Institut Pasteur
- University of Luxembourg
- 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
- CEA
- CNRS-LIRMM
- DI ENS
- ECE - Paris - Ecole d'ingénieurs
- ESSEC Business School
- Grenoble INP - UGA
- IMT Atlantique
- IMT Mines Ales
- INSA LYON
- INSERM DR Paris 5
- IRCM - Cancer Research Institute of Montpellier
- Inria
- LEAD CNRS UMR5022, Université de Bourgogne
- Le Mans Université
- Mines Paris-PSL
- Renault Jean-Hugues
- Télécom Paris
- Universite de Montpellier
- University of Lille
- Université Savoie Mont Blanc
- Université de Technologie de Belfort-Montbéliard
- 23 more »
- « less
-
Field
-
) and/or machine learning (about 10 PIs). The Physics Laboratory is about 180-member strong and conducts world-leading research on a broad range of topics, including quantum technology, statistical
-
astrophysics, cosmology, or a related field completed by the start date; strong programming skills; working knowledge of machine learning applied to astrophysics and cosmology, in particular simulation-based
-
Eligibility criteria Selection will be based on the following scientific and technical criteria: • PhD in computational biology, machine learning, bioinformatics or a related field. • Proficiency with Python
-
, or computer science. Core competencies: solid background in quantum many-body physics strong programming skills (Python required, Rust a plus) experience with tensor networks, variational Monte-Carlo, machine learning
-
language processing that address concrete problems and are both theoretically rigorous and interpretable. The PhD is funded by the ERC CoG PANDORA (Deep Multimodal Learning for Mining and Generation of Arguments
-
, machine learning or neuronal population analyses would be an advantage. Specific Requirements We are looking for a candidate with a strong interest in scientific software development and quantitative
-
following competencies: applied mathematics, statistics and probabilities data science, machine learning, artificial intelligence optimisation power system management, integration of renewables energy
-
with GREYC (UMR CNRS 6072), the computer science laboratory of Université de Caen Normandie, particularly in machine learning and graph-based approaches. Depending on the scientific questions addressed
-
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
-
Inria, the French national research institute for the digital sciences | Villeurbanne, Rhone Alpes | France | 23 days ago
: Good programming skills, preferably in Python, and strong analytical abilities. A solid background in machine learning, computer security, privacy, distributed systems, or a closely related area