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molecular dynamics methods as well as QM/MM methods and Python programming. Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR6296-PASBES-007/Default.aspx Work Location(s) Number
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photophysics - knowledge of cell culture or nanomaterials - python programming Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR8214-SANLEV-032/Default.aspx Work Location(s) Number
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Inria, the French national research institute for the digital sciences | Paris 15, le de France | France | 7 days ago
/Qualifications Technical skills and level required : Languages : High-level of professional/academic English Coding skills : Good level of coding in Python and related deep learning libraries
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. Skills and requirements PhD in Oceanography or equivalent Expertise in coastal ocean dynamics and modeling Proficiency in programming, with a minimum requirement of Fortran and Python Excellent English
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Institut Pierre Louis d'Epidémiologie et de Santé Publique (IPLESP) | Paris 15, le de France | France | 7 days ago
urban environments Proficiency in statistical and computational techniques for data collection and processing Applied knowledge of R or Python programming languages In-depth knowledge of data production
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a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Gammapy is an open Python library for astrophysical very-high-energy gamma-ray data analysis
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, impacts, or resilient system design. Proficiency in programming (e.g., Matlab/Simulink, Python, ROS) and embedded sensing. Good analytical skills, ability to design experiments and prototypes, familiarity
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, applied mathematics, or image processing, combined with advanced programming proficiency in Python. The ideal candidate will have previous experience in machine learning, particularly in self-supervised
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EEG/ERP and/or fMRI - Programming skills (e.g., Python, Matlab) - Advanced knowledge of statistical analysis (e.g., mixed models in R) Desired skills: - Specialization in one or more research fields
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to volcanic or heterogeneous environments. He/she must be proficient in numerical modeling tools (MODFLOW, FEFLOW, or equivalent) and have good skills in scientific programming (Python, MATLAB, R). Knowledge in