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, dimensionality reduction, clustering, trajectory modeling) Lead reproducible analysis pipelines in R, Python, or related frameworks Interpret results in biological and clinical context, with emphasis
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a strong background in statistical analysis and data-driven modeling applied to large astronomical datasets and time-domain surveys. Expertise in programming languages such as Python, R and C
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candidates with a proven track record in developing open-source machine learning, deep learning, or cheminformatics tools (Preferred written in Python). Job Duties Plans, directs and conducts research
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packages, including but not limited to Core Level, Infrared, and Raman Spectroscopy. Language can be anything of the candidate's preference, such as Python, Fortran etc. Leverage observations from in
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expertise in NGS data analysis (WES, RNA-seq). - Experience with R and/or Python for statistical and bioinformatic analyses. - Experience in integrative multi-omics analysis. - Knowledge of biostatistics and
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structure theory software packages, including but not limited to Core Level, Infrared, and Raman Spectroscopy. Language can be anything of the candidate’s preference, such as Python, Fortran etc. Leverage
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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
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- Programming skills (e.g., Python, Matlab) - Advanced knowledge of statistical analysis (e.g., R) Desirable skills: -Specialization in language development, including research experience with infants and/or
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geospatial data processing and python programming. Candidates should also have knowledge of optical, lidar, and ground penetrating radar sensing systems and understanding of pavement structures and condition
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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 experience