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, Python, and SQL to manage, analyze, and validate large and complex datasets. Perform data cleaning, quality checks, and routine performance measurement analyses. Develop reproducible analytic code and
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Université Paris-Saclay GS Biosphera - Biologie, Société, Ecologie & Environnement, Ressources, Agriculture & Alimentation | Gif sur Yvette, le de France | France | 19 days ago
appréciées. Une expérience en analyse de données (par exemple en R ou Python) est attendue, et une familiarité avec les données omiques (transcriptomique, génomique ou épigénomique) constituera un atout. De
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l'expérimentation Des compétences en traitement de données / programmation (Python, MATLAB ou équivalent) Une appétence pour les projets interdisciplinaires, à l'interface avec la biologie Des connaissances en
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. Knowledge of basic mathematical and statistical concepts and skill in using standard computer and scientific software, including data analysis or analytical tools such as R, Python, ArcGIS, or comparable
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/RTX ) system: Implement statistical and machine learning techniques to augment graph edge properties in ARAX; Create modular python wrappers to interface with NCATS (National Center for Advancing
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e.g. Python/R. Desired experiences: Molecular laboratory, bacteriology and/or cultivation-based experimental work. Network-based analysis of multi-omics data. Molecular lab experience A PhD student with
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 20 days ago
pipelines and export of human interpretable format(s) (graphs/figures, tables, etc...); processing, analysis, and display. Experience in engineering and graph database work. Experience programming in Python
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de programmation scientifique (R, Python ou équivalent) ; • Manipulation de jeux de données volumineux et éparses ; • Intérêt pour l'analyse de grandes bases de données environnementales et
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Python, MATLAB, and/or Simulink is highly desirable. Experience with SolidWorks and 3D printing is preferred. Strong problem-solving skills and attention to detail are essential. Previous experience in
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molecular, cellular, or quantitative biology. Experience with microscopy, image analysis, computational analysis, or data visualization preferred. Exposure to programming or analysis tools such as R, Python