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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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experiments. Interested in the challenges of the energy transition. Fluent in English (French is a plus but not required) Publications in academic journals are a plus. Proficient in R, Stata, or Python. Where
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Laboratoire de Physique des Interfaces et des Couches Minces (LPICM), UMR CNRS/École Polytechnique, | Palaiseau, le de France | France | about 1 month ago
measurement systems, with in-depth experience in languages like MATLAB, Python, C/C++, and LabVIEW. Basic understanding of electronics and embedded systems. Methodical, rigorous, creative, and challenge
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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
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-)fluidics Implementation of microscopy techniques (including confocal) and microrheology Structural and mechanical characterization of the gels Data analysis (using Python or equivalent tools) Literature