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, or ability to learn quickly) and/or symbolic/numerical computation (Mathematica, R, Python). • Fluency in scientific English (reading, writing, speaking) is essential to interact with the project's
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: Fluency in English, with strong written and oral communication skills required. Additional skills: - Python programming, ex vivo patch-clamp, or molecular biology. Professional skills: - Ability to work
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experimental particle physics, with less than 2 years experience after the PhD • Programming: skills in Python, C++ and ROOT • Language: fluency in spoken and written English. Some level of French could be
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Additional Information Eligibility criteria Ability to design and implement behavioral protocols Knowledge of statistics Experience in signal analysis Experience in agent-based modeling Proficiency in Python
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areas: AI/ML, image processing, molecular modeling and docking ‒ Strong experience in Python and C++ programming (knowledge of Fortran is a plus) ‒ Strong interest in interdisciplinary research bridging
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of the AAA ATPase p97: Disentangling the Continuous Conformational Variability in Partially Symmetrical Complexes. Int J Mol Sci. 2024;25. https://hal.science/hal-04519643 - Programming in Python and C
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statistical and/or multivariate approaches (proficiency in tools such as Python, R, or equivalent is desirable); * Ability to design, adapt, and optimize experimental protocols; * Strong analytical and critical
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in R or Python Desired - evidence of strong computational skills and large dataset analysis - experience with hierarchical Bayesian modeling - expert knowledge of plant functional ecology - fluency in
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simulating nanocarbon materials or catalytic systems. Proficiency in quantum chemistry software (e.g., VASP, AIMPRO, ORCA) and scripting languages (Python, Bash) for data analysis and workflow automation
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criteria Knowledge of the functional renormalization group required. Python programming skills. Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR7010-ZIZJIN-002/Default.aspx Work