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). The technical challenge will be to manage large datasets for many clades and fitting a large number of models. Softwares will be mostly in R but will likely involve other bioinformatics tools (Bash, python) and
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with basic continuum and rock mechanics, including computational approaches. * Programming in C / python / Julia or equivalent, and ideally some experience with high-performance computing * Familiarity
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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
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, hydro-acoustics, data science, geodynamics, geophysics, statistics, Bayesian inference ⁃ Experience with statistical analyses and machine learning techniques ⁃ Programming in C / python / Julia
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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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environments. • Write and execute code in R, Python, GitHub etc., high-performance computing. • Evidence of ability to publish research results in international peer-reviewed journals. • Ability to organize and
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including sequencing data. • Analysis skills: write and execute code in R, Python, GitHub etc., high-performance computing. • Strong oral and written communication skills in English. • Ability to work
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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
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Bayesian statistics, stochastic modeling, and optimization under uncertainty • Proficiency in Python programming • Strong interest in applied and transferable research • Knowledge of industrial simulation
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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