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of the techniques mentioned above and/or with a Ultra-high vacuum system is a strong advantage. Knowledge of a programming language like Python to assist with data analysis is also an important advantage. A
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Computer Science) and the BRGM Data and environmental teams, to achieve the goals of the JUNON project before September 2026. The successful candidate has proven experience in Python development, data integration
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statistical methods and programming languages such as R, Python, or similar. Experience: Previous experience with large-scale genetic datasets and exposure data. Research Experience: A strong publication record
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, numerical modeling, or a related field. • Experience in biogeochemical modeling and data assimilation. • Proficiency in programming languages (Python, Fortran, Matlab, or equivalent). • Knowledge of ocean
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Programming skills (Matlab or Python) Good command of English (French is not required) Proven ability to write scientific articles and projects, and to give oral presentations Knowledge: Cognitive neuroscience
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by bioinformaticians, the candidate must have skills in analyzing sequencing data, ideally using Python, but other training in other suitable programming languages are acceptable. Website