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Field
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work; Experience with data analysis, such as statistics, data management, etc.; Experience in scripting/programming (e.g., R, Bash, Python); Strong interest in understanding human impacts on ecological
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, Python, Matlab, or C++ A keen interest in advancing our understanding of marine ecosystems, polar regions, and/or biogeochemistry Proficient communication skills in spoken and written English Experience in
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animal movement analyses. Geospatial analysis, GIS, and remote sensing. Statistical, ecological, and machine-learning modeling using modern analytical software (e.g., R or Python). Google Earth Engine and
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languages commonly used in the scientific environment (especially R, Python) would be an asset. Most of the work will be carried out in the laboratory at the LAPA facilities on the CEA Saclay site. Field
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) in languages relevant to accelerated materials discovery, particularly Python Behavioural competencies Research - Communication (Level 3) Research - Creative thinking (Level 3) Research - Teamwork
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programming capabilities (1-3 years minimum experience) in languages relevant to accelerated materials discovery, particularly Python Behavioural competencies Research - Communication (Level 3) Research
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. Fluent oral and written communication skills in English. Desirable qualifications Documented Experience with Python and/or another scientific programming language. Documented Experience with image
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in Python and/or C++ programming will be considered a strong advantage. Where to apply Website https://emploi.cnrs.fr/Offres/Doctorant/UMR7315-DAMAND-006/Default.aspx Requirements Research
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parte de los créditos correspondientes), así como la experiencia demostrable en algunas de las siguientes áreas: Sistemas U-Space, lenguajes de programación (TypeScript,JavaScript,Python), y simulación
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of cladding hoop stress and assessment of PCI-failure risk, • implementing, testing and documenting computational tools, for example in Python, and contributing to reproducible computational workflows