Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- CNRS
- Ecole Centrale de Lyon
- IFP Energies nouvelles (IFPEN)
- Inria, the French national research institute for the digital sciences
- Centrale Supelec
- Centre Euopéen de Recherche et de Formation Avancée en Calcul Scientifique (CERFACS)
- Ecole Centrale de Nantes
- European Synchrotron Radiation Facility
- Grenoble INP - Institute of Engineering
- Institut Pasteur
- UNIVERSITE DE TECHNOLOGIE DE COMPIEGNE
- Université Grenoble Alpes
- Université Gustave Eiffel
- Université côte d'azur
- Université de Limoges
- 5 more »
- « less
-
Field
-
proficiency in Python. Knowledge in Statistical physics and Network science, and interest in complex networks and interdisciplinary research are a plus. The position is for 3 years, and will be located
-
validation on simulated and real data Skills Abstraction capabilities, strong programming skills in C/C++ and Python, collaboration skills. English is needed. REFERENCES [0] C. Bekker, S. Rothmann, M. Kloppers
-
programming languages like Python or Matlab environment. Knowledge for programming (python) would be a plus for the force curves interpretation since some codes have been developed for the 3D -AFM data analysis
-
opportunities offered by cutting-edge CFD methods. Prior experience in CFD and/or CFD code development (e.g., Python, Fortran, C++) would be a considered as a strong asset. Selection process The recruitment
-
about shape optimization and the new opportunities offered by numerical design in turbomachinery. Prior experience in CFD and/or CFD code development (Python, C++, Fortran) would be a significant
-
experiment on a metric-scale concrete wall, using the multi-physics NDE probe integrated onto drone platforms. Expected Results A Python-based multi-physics Maching Learning framework for NDE characterization
-
practice of English (level B1 desired) • In-depth knowledge of the Python language • Autonomy, interpersonal skills and ability to work in a team Website for additional job details https://emploi.cnrs.fr
-
with machine-learned quantum mechanical force fields trained on diverse chemical fragments. Sci. Adv.10, eadn 4397(2024) Where to apply Website https://ecolecentraledelyon.recruitee.com/ Requirements
-
) - email : antoine.berthet@centralesupelec.fr – web : https://scholar.google.com/citations?user=jxMJvuUAAAAJ&hl=en Bibliography: [1] J. Federici and L. Moeller, “Review of terahertz and subterahertz
-
to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR5001-ELSGEN-046/Candidater.aspx Requirements Research FieldEnvironmental scienceEducation LevelPhD or equivalent Research FieldEnvironmental