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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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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
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, including the use of MATLAB. Experience with 3D electromagnetic simulation with Ansys HFSS or Keysight Momentum is a plus. The Phd is funded by Q-loop project of the Institut de Recheche Technologique
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such as chemical analyses, microbial culturing, isotope tracing, or data modeling is highly desirable. • Proficiency in data analysis tools (e.g., Python, R, or MATLAB) and excellent command of English
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neuroscience as well as in vivo and ex vivo neurophysiology. • Proficiency in behavioral and physiological data analysis. • Autonomy in the use of coding software (Python and/or Matlab). • Holder of the SURGERY
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, numerical modeling, or a related field. • Experience in biogeochemical modeling and data assimilation. • Proficiency in programming languages (Python, Fortran, Matlab, or equivalent). • Knowledge of ocean
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) - Very good acoustic analysis skills - Good knowledge of speech production models - Very good statistical analysis skills - Good academic English skills (C1) - Very good programming skills (Matlab, Python
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(especially fMRI), experimental design, data analysis and programming (e.g., SPM, MATLAB, Python, R,…), scientific writing, and very good organization and communication skills. The ideal candidate is able
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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