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Laboratory's activities cover a wide range of fields, from statistical physics to hydrodynamic turbulence, including mathematical physics and signal processing, as well as soft and condensed matter
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of statistics. - Solid programming skills in Python and in scientific computing (PyTorch, scikit-learn, numpy, etc). - Familiarity with GNU/Linux. - Problem solving skills. - Good communication and teamwork
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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
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to carry out the following tasks: Development of analysis scripts for the preprocessing and automated processing of functional neuroimaging data; Statistical modeling of imaging data and evaluation
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analysis, isotopic analysis, statistical analysis - Interpersonal skills: Teamwork, autonomy, organization, prioritization Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR7209-ANNHAU
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that incorporates a broad range of neutrino and dark-matter models, assessing their effects on large-scale-structure (LSS) statistics as measured by the power spectrum and bispectrum of galaxies or intensity maps
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of Research Experience1 - 4 Additional Information Eligibility criteria - Publish scientific results - Exchanges with international scientific colleagues - Statistics and skills in programming (Python, Matlab
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strategies. It specifically aims to develop, explore, and evaluate new statistical analysis and diagnostic methods using different data sources to improve estimates of population size, temporal trends in
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, statistics, quantitative/qualitative analysis. - Appetite for educational AI, LLMs, or data analysis (advanced skills not required but appreciated). Cross-functional skills - Interdisciplinary teamwork
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biology We expect a candidate with a strong background in machine learning or statistics. The candidate must also be proficient in high-level languages like Python. Familiarity with single-cell date and