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                Field
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                scripting with Python and/or R would be an asset. 
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                ). • Advanced quantitative analyses (machine learning, computer vision, multilevel statistics). • Creation and use of Python code for advanced analyses. • Management and monitoring of complex transgenic lines 
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                Technical skills : - Ability to handle large datasets (hundred thousands to millions of rows) using a programming language (e.g. R, Python, MATLAB) - Good knowledge of descriptive multivariate data analyses 
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                -postdocIBSoFACTo@emploi.beetween.com Requirements Research FieldBiological sciencesEducation LevelPhD or equivalent Skills/Qualifications Practical experience with bioinformatics tools (R, Python, etc.) is required 
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                knowledge of basic techniques in molecular biology. Working knowledge of R and Python programming environments. Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR5284-FABLEG-002 
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                Python, including use of data analysis libraries such as pandas and scikit-learn Experience with Large Language Models (LLMs): using APIs (e.g., OpenAI, HuggingFace), or local models (e.g., Ollama 
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                of Python programming and a deep learning framework, preferably PyTorch. Solid knowledge of image processing, inverse problems, and machine learning. Significant research experience, demonstrated by quality 
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                Mediterranean Institute of Oceanography | Marseille, Provence Alpes Cote d Azur | France | 8 days ago. • Analysis skills: write and execute code in R, Python, GitHub etc., high-performance computing. • Strong oral and written communication skills in English. • Ability to work independently and flexibly 
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                English level C1 are expected. Some knowledge of Python programming will be appreciated. Additional comments Host institution and benefits. ICB is the largest physics laboratory of Université Bouroggne 
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                quantitative geoscientific data. • Experience with one programming languages e.g. Python, Matlab, R. Critères essentiels : - Être titulaire d'un doctorat en géomorphologie ou dans une discipline étroitement liée