Sort by
Refine Your Search
-
knowledge in at least of the following techniques : EEG, MRI, TMS • Good programming skills (python, R, matlab). • Knowledge of legal and deontological frameworks • English : B1 to B2 Know-how • Organise
-
have excellent skills in analyzing human behavior and be proficient with experimental and data processing software (E-Prime, Matlab, R), statistical analyses including linear mixed-effects models, as
-
molecular spectroscopy and nonlinear optics, and is a must for recruitement. Additional qualifications such as training and supervision of master students, and proficiency in Python and/or Matlab are valuable
-
candidate has experience in coding numerical solutions to partial differential equations via the finite element method / finite differences schemes and programming skills in Mathematica, Matlab, Python
-
processing and modelling • Rock mechanics, and inversion • Computation: Linux, Matlab or Python Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR6524-AUDCHA-035/Default.aspx Work
-
and training of non-human primates. • Excellent programming skills (R, matlab, etc). • Knowledge of legal and ethics frameworks • Ability to work independently as well as part of a team • Ability to
-
programming in Python and MATLAB; version control (git) and reproducible workflows. * Experience with MEG/EEG analysis; familiarity with MNE-Python/SPM/FieldTrip; comfort with source reconstruction and signal
-
optimization. Solid experience with data analysis, programming, and numerical computation (MATLAB, Python) is essential. Knowledge in human movement analysis and experimental data acquisition (EMG, IMU, etc
-
scientific computing tools (preferably MATLAB). - Experience with biomedical applications of signal processing is desirable. - Good computing skills. - Proficiency in word processing tools (Word, LaTeX
-
modeling and simulation tools (e.g., MATLAB/Simulink, Python, EES, or equivalent environments). Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UPR8521-MAXPER-005/Candidater.aspx Requirements