Sort by
Refine Your Search
-
microscopy Force spectroscopy Python programing Labview Research FieldPhysics » Biophysics Additional Information Eligibility criteria PhD in Biophysics Selection process Send your CV to frederic.cuisinier
-
(knowledge of energy systems is a plus). The ideal candidate for the position has skills in electrical grid modelling (OpenDSS, Pandapower, MATPOWER, etc.), programming skills (Python, Julia, Matlab), as
-
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
-
biomedical research. Your profile Master's degree in computer science or related discipline Experience with Python and recent deep learning frameworks (e.g. Pytorch, MONAI) Strong interest in image analysis
-
LevelPhD or equivalent Skills/Qualifications - Excellent knowledge in architecture of quantized and pruned neural networks - Solid programming skills, languages C / C++ / Python - Solid knowledge in
-
, computational biology, bioinformatics, data science, or related fields Strong interest in clinical and biomedical data, translational research, and health informatics Experience with programming skills in Python
-
Strong background in differential equations and numerical methods Solid programming skills e.g. Python, C++, Julia or similar Interest in interdisciplinary research bridging mathematics and environmental
-
learning applied to dynamic systems; Proficiency in key machine learning libraries (PyTorch, JAX, etc.); Mastery of Python and the software ecosystem for scientific data analysis and management (NumPy
-
++ and/or Python Experience with SOFA, FEniCSx or similar simulation frameworks is a strong plus Motivation to work at the crossroads of mechanics, AI and medical technology, in close collaboration with
-
for Languages) essential Strong programming skills in scientific computing languages (e.g. Python, C++) Solid knowledge of microgrid concepts and distribution network operation Knowledge of electric vehicle