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accelerator physics • Python (or C++, Fortran) coding • analytical skills • basis of data analysis • a high level of communication skills, both oral and written (French and English required) to be able
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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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aims to provide an integrated assessment of urban vegetation from multiple perspectives, including its social functions and usage requirements, the ecosystem health of green spaces linked to plant
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proficiency with at least one programming language (Perl or Python preferred). Skills in molecular phylogeny are a plus. Other required skills: English (written and oral). Good presentation and communication
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: electronic structure calculations (plane wave DFT if possible), statistical thermodynamics, molecular dynamics. Skills in Python, bash scripting, Fortran 90 and machine-learning would be appreciated. The PIIM
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analysis and software skills (python and astropy) • teamwork abilities • fluent in English • Experience in data analysis in a neutrino experiment and in astronomy analysis in X-ray/gamma-ray observatories
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physical interaction necessitate the use of multiple robots to mitigate this issue [1]. Finally, despite the great recent progress in automation, computer science, and machine learning, robots still have
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modeling and simulation tools (e.g., MATLAB/Simulink, Python, EES, or equivalent environments). Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UPR8521-MAXPER-005/Candidater.aspx Requirements