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physics, and Brownian motion - Advanced experimental skills in ultra–low-noise measurements - Proficiency in data analysis with Matlab or Python - Practical knowledge in electronics, mechanics, optics
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implant surgery. 3) Extensive knowledge of programming and data analysis (Matlab, Python, etc.). 4) Extensive knowledge of immunohistochemistry. Website for additional job details https://emploi.cnrs.fr
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quantitative geoscientific data. • Experience with one programming languages e.g. Python, Matlab, R. Critères essentiels : - Être titulaire d'un doctorat en géomorphologie ou dans une discipline étroitement liée
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at 900 K) * Developing automated workflows for data acquisition and analysis * Programming in Python and Matlab * Analyzing results and discussing them with the other project partners * Writing scientific
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/HRTEM, SAXS/WAXS, surface NMR) – mastery of at least two expected. • Data analysis proficiency (Python/Matlab/R) and statistics (regressions, multivariate analyses). Additional assets • Professional
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neurofeedback would be an asset. • Proficiency in data analysis tools (Python, MATLAB, neuroimaging software). • Familiarity with human experimental protocols and clinical best practices. • Knowledge of ethical
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physics, or a related field. • Excellent software development skills (Python essential, MATLAB or equivalent appreciated). • Experience in neuroimaging and/or EEG data analysis, preferably real-time
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of Research ExperienceNone Additional Information Eligibility criteria The candidate must have a PhD in physics or a related discipline. Good programming skills (Matlab) and knowledge of Comsol software
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Technical skills : - Ability to handle large datasets (hundred thousands to millions of rows) using a programming language (e.g. R, Python, MATLAB) - Good knowledge of descriptive multivariate data analyses
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(e.g. Python, MATLAB or equivalents); Interest in applied thermodynamics, numerical simulation and sustainable energy systems. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR7274-SILLAS