Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- CNRS
- Ecole Centrale de Lyon
- Inria, the French national research institute for the digital sciences
- Nature Careers
- BRGM
- Ecole Centrale de Nantes
- LEM3
- Nantes Université
- Sorbonne University, IMPMC-UMR 7590
- Universite de Montpellier
- cnrs
- CNRS UMR6614 CORIA
- Centrale Supelec
- CentraleSupélec Rennes campus
- European Synchrotron Radiation Facility
- Grenoble INP - Institute of Engineering
- INERIS
- INRIA
- INSA Rennes
- IRIG
- Institut Pasteur
- Institut de Recherche pour le Développement (IRD)
- Laboratoire INSERM UMR1311 Rouen Normandie Université
- UNIVERSITE DE TECHNOLOGIE DE COMPIEGNE
- UTTOP
- Université Gustave Eiffel
- Université côte d'azur
- Université de Caen Normandie
- 18 more »
- « less
-
Field
-
modeling Programming skills in Python and machine learning packages such as PyTorch and TensorFlow Scientific curiosity and critical thinking Ability to work in interdisciplinary environments Motivation
-
/Qualifications Candidates must have a master's degree, preferably with a background in semiconductor physics. Basic knowledge of electronics and Python programming would be appreciated. Applicants must have a keen
-
and microstructure-based modeling Experience with numerical methods for PDEs Programming skills in Python (knowledge of C++, Fortran or HPC is a plus) Scientific curiosity and critical thinking Ability
-
Inria, the French national research institute for the digital sciences | Palaiseau, le de France | France | about 1 month ago
Python. Knowledge of a distributed computation framework is a plus. The candidate should be proficient in English. Knowing French is not necessary, as daily communication in the team is mostly in English
-
modeling Programming skills in Python and machine learning packages such as PyTorch and TensorFlow Scientific curiosity and critical thinking Ability to work in interdisciplinary environments Motivation
-
statistical processing (e.g. R, Python) Knowledge of atmospheric chemistry and/or air quality would be an asset Ability to work independently, scientific rigor, adaptability, teamwork skills, open‑mindedness
-
Background in acoustics, fluid mechanics, aeroacoustics, and numerical methods. Specific Requirements hands-on experience with computing in C/C++, Fortran, Python, or similar programming languages excellent
-
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
-
Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 17 days ago
learning, or transformers is a major advantage. Practical knowledge of Python, clean coding practices, and reproducible ML workflows. Familiarity with protein structure, biophysics, or molecular modeling (MD
-
). Previous experience in ecological modelling is desirable but not essential. Specific Requirements Ability to quickly become proficient in coding using R or Python. An interest in topics relating