Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
, particularly deep learning and reinforcement learning. • Interest in experimental instrumentation and real-world validation. • Advanced scientific programming skills, particularly in Python (knowledge of C/C
-
algorithms (Python, Matlab, or equivalent). Experience with deep neural networks, particularly for the analysis of spectral or imaging data, will be highly appreciated. Knowledge of light propagation in
-
(Python) and interfacing experimental devices Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR7588-JEACAN-002/Default.aspx Work Location(s) Number of offers available1Company
-
interacting with different departments and external companies, fluency in English and in French is necessary. Good knowledge in LabVIEW or Python is a plus. Website for additional job details https
-
Information Eligibility criteria Skills in optics, instrumentation, programming (Python). Teamwork in an international environment. Doctorate in astronomy, astrophysics, instrumentation, optics, physics
-
. Generating fortran code for VUMAT for Abaqus Explicit. Developping python codes for microstructure generation Finite elements simulations on a cluster. Parameter study and comparison with experimental results
-
concepts, and 2) to enjoy finding new solutions in the face of new and unforeseen difficulties. The ideal candidate has very good 1) python programming skills, 2) understanding of the mathematical
-
; running of Perl & Python scripts) are expected. The ability to integrate in a research team and to work independently are expected. Website for additional job details https://emploi.cnrs.fr/Offres/CDD
-
- Programming skills (e.g., Python, Matlab) - Advanced knowledge of statistical analysis (e.g., R) Desirable skills: -Specialization in language development, including research experience with infants and/or
-
skills: Python programming; solid background in optimization and/or inverse problems; strong interest in signal processing, experimental data and physics-based modelling. • Important assets: experience