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). • Advanced quantitative analyses (machine learning, computer vision, multilevel statistics). • Creation and use of Python code for advanced analyses. • Management and monitoring of complex transgenic lines
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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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, - Proficiency in R and/or Python programming languages, - Experience working with large medical-administrative databases would be appreciated (SNDS, PMSI), - Excellent command of scientific English (written and
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. - Experience in coding (python or other computer language). - Proven track record of publications in peer-reviewed journals. - English (written/oral) level of at least B2 (according to the common European
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, particularly in Python and C++ - Have a strong command of both French and English, spoken and written, in a scientific context - Be meticulous: able to report findings (write reports and give scientific
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Information Eligibility criteria * Skills/knowledge: statistical physics, physical chemistry, machine learning * Expertise: molecular simulations, programming experience (Python, C++, Julia, C, etc.), Python
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knowledge of basic techniques in molecular biology. Working knowledge of R and Python programming environments. Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR5284-FABLEG-002
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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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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