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reactor physics. Strong programming skills (Python and/or C++) and data analysis skills are required. Proficiency in stochastic neutron transport simulation software such as MCNP, Serpent 2, OpenMC, Tripoli
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pipelines and interfaces): Python (numpy, scipy, pandas, PyQt5, matplotlib, pympi.Elan, torch, etc.), R/RStudio, automatic speech processing systems (e.g., Nemo, MFA), and NLP packages (such as spaCy
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design, data analysis, and programming (e.g., SPM, MATLAB, Python, R, etc.) Strong scientific writing skills Excellent organizational and communication skills Willingness to work in an interdisciplinary
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Python and/or SPICE - Ability to transmit knowledge (written/oral) and provide supervision - Sense of confidentiality - Excellent interpersonal skills, autonomy, strong adaptability, and a team player
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profile with advanced skills in: - Numerical programming in Fortran, C, or C++, and Python, - Spectral methods using Fast Fourier Transform (FFT), - Code debugging. He should have a keen interest in
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datasets; • Strong analytical and statistical skills (preferably in R or Python); ability to analyse spatial data (with GDAL/PDAL via R or Python) ; • Solid background in fire ecology, ecosystem functioning
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proficiency in Python. Knowledge in Statistical physics and Network science, and interest in complex networks and interdisciplinary research are a plus. The position is for 3 years, and will be located
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- python programming Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR8214-SANLEV-038/Default.aspx Work Location(s) Number of offers available1Company/InstituteInstitut des Sciences
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will use and develop Python scripts for analysing results and may participate in the development of codes such as the observation simulator and the improvement of the controller. The proposed thesis will
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, library preparation, cell culture, and imaging - Proficiency in computer languages (bash, python, awk, R) - NGS/omics data analysis - Proficiency in statistics for high-throughput data analysis - Generation