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programming skills (Python, Fortran, …); • Excellent communication skills, with the ability to work in an international research environment and publish scientific results in English; • Experience in retrieving
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, acceleration, algorithms for optimal transport or generative AI). A good knowledge of Python programming (for AI, optimization) is highly desirable. Website for additional job details https://emploi.cnrs.fr
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, K-means clustering, random forest trees, hypothesis testing, etc.) - Python programming and the Unix environment - Ability to communicate results in French and English (writing scientific articles and
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Eligibility criteria The recruited person must have expertise in cosmology, numerical development and machine learning. They must be proficient in the Python programming language, with experience in JAX being a
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, ideally applied to thin-film growth by PVD. Skills in data analysis, programming (Python, etc.), and the ability to work at the interface between simulation and experimentation in collaboration with
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criteria - physics with knowledge in optics - knowledge in microscopy - knowledge in single-molecule imaging (acquisition and processing) - knowledge in photophysics - knowledge in cell culture - python
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criteria - Computer skills, particularly in Python and C++, are necessary for the development of the analysis software. Knowledge of Git version management software is also desired. - Proven knowledge
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- Polyploidy and genomic instability - Automated image acquisition - Scientific programming (Python, Java, or MATLAB) 4. Soft Skills and Professional Qualities - Strong analytical skills - Scientific curiosity
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using Python, Matlab, or equivalent programming languages. Previous experience in interdisciplinary research projects at the interface between engineering, materials science, and biology will also be
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fluorescence microscopy, is highly desirable. The successful candidate should also have experience with data analysis tools (Python and/or MATLAB), and ideally be familiar with the challenges associated with