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interdisciplinary research at the interface of biology, physics, and computation ● Experience in image analysis and/or machine learning is highly desirable ● Programming skills (Python or equivalent) are a plus
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in R or Python Desired - evidence of strong computational skills and large dataset analysis - experience with hierarchical Bayesian modeling - expert knowledge of plant functional ecology - fluency in
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simulating nanocarbon materials or catalytic systems. Proficiency in quantum chemistry software (e.g., VASP, AIMPRO, ORCA) and scripting languages (Python, Bash) for data analysis and workflow automation
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Research FieldHistory » History of scienceYears of Research Experience1 - 4 Additional Information Eligibility criteria -- Knowledge in fine-scale, high-frequency ocean dynamics - Proficient in Python
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differentiation of mESCs and/or hESCs. • Advanced imaging techniques: confocal microscopy, immunofluorescence. • Molecular biology techniques: cloning • Experience in data analysis (Fiji, Python, etc.) Website for
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of LHC data, based on solid C++ and Python expertise, is strongly appreciated. Ability to work in a large international collaboration is a must. Fluency in English, speaking and writing (B2 minimum) is
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algorithms (Python, Matlab, or equivalent). Experience with deep neural networks, particularly for the analysis of spectral or imaging data, will be highly appreciated. Knowledge of light propagation in
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. Generating fortran code for VUMAT for Abaqus Explicit. Developping python codes for microstructure generation Finite elements simulations on a cluster. Parameter study and comparison with experimental results
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concepts, and 2) to enjoy finding new solutions in the face of new and unforeseen difficulties. The ideal candidate has very good 1) python programming skills, 2) understanding of the mathematical
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; running of Perl & Python scripts) are expected. The ability to integrate in a research team and to work independently are expected. Website for additional job details https://emploi.cnrs.fr/Offres/CDD