Sort by
Refine Your Search
-
at the Laboratory for Biometry and Evolutionary Biology (LBBE) in Lyon, France (https://lbbe.univ-lyon1.fr/en ). The LBBE comprises approximately 200 people; the research conducted there is based on three pillars: (i
-
Processes (https://simap.grenoble-inp.fr ) - is a multidisciplinary laboratory with more than 200 participants from chemistry, physics, materials and fluid mechanics. It is one of the leading laboratories in
-
field) and ground-based (radio) data - Use of various software codes: (i) radio emission simulation code, (ii) solar wind propagation code. - Development of software (preferably in Python) for data
-
in Python and/or C++ programming will be considered a strong advantage. Where to apply Website https://emploi.cnrs.fr/Offres/Doctorant/UMR7315-DAMAND-006/Default.aspx Requirements Research
-
languages commonly used in the scientific environment (especially R, Python) would be an asset. Most of the work will be carried out in the laboratory at the LAPA facilities on the CEA Saclay site. Field
-
programming tools (Matlab, Python, C++) is essential, and knowledge of NMR/MRI would be a valuable asset. Mechanistic insights and optimization of synchronized respiratory stimulation as a therapeutic
-
neuroscience research. The project is exclusively devoted to fundamental academic research and is conducted within the framework of publicly funded scientific research activities. Where to apply Website https
-
Eligibility criteria - background in phyiscs - some knowledges in optics - some knowledges in programming ( python) Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR8214-VERSAR-038
-
• Education: Master's degree in Automation, Electrical Engineering, AI, or Energy. • Skills: Modeling (Python/Matlab), AI (PyTorch/TensorFlow), signal processing. • Qualities: A passion for experimentation (HIL
-
, computational physics, or a related field; • Strong background in machine learning, probability, and statistics; • Proficiency in scientific programming with Python and deep-learning frameworks such as PyTorch