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skills: Python programming; solid background in optimization and/or inverse problems; strong interest in signal processing, experimental data and physics-based modelling. • Important assets: experience
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science, oceanography, physics, environmental science, or a related field • Strong skills in scientific programming (Python, Fortran, or similar) • Interest in Earth system modelling and climate science
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skills (Matlab, Python, C++) are a significant asset. •Knowledge of artificial intelligence techniques and associated optimization algorithms would be appreciated. •Good knowledge of English (working
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CAD software like KiCad (or equivalent); - Confirmed programming skills, particularly in C and C++, as well as data analysis and processing using Python-based tools; - Ability to work in an
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of surface chemistry and catalysis, DFT and ML. She/he must be familiar with VSAP software and Python. She/he must be rigorous, curious and able to communicate in English. She/he must be proactive in
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new pollen analysis • Modeling and Statistics: Utilize GIS, R statistical environment, and other tools for pollen-based modeling (REVEALS and LOVE models) and statistical analysis. • Collaboration: Work
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. • Strong expertise in the analysis of experimental space data and signal processing. Technical Skills • Proficiency in a scientific programming language (Python or equivalent). • Knowledge of in situ
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analyzing single-cell transcriptomic data using Python. Strong skills in analyzing epithelial tissue dynamics. Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR3215-YOHBEL-023
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relevant to the field - programming/coding in Python (Pytorch) - presentation of results at conferences - interaction with team members and international collaborators Degree : Master of Physics, data
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proficiency in programming languages is required (R, Python, or Fortran). The candidate must have demonstrated the ability to communicate results in scientific journals and at international conferences. Website