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Programme (PEPR) Forest Resilience (FORESTT – https://www.pepr-forestt.org/ ), funded by the French Plan d'Investissement d'Avenir (PIA) France 2030. FORESTT aims to support the transition of forest socio
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planted forests; • Experience in data analysis (R or Python); • Fluency in scientific English; • Valid driver’s license; • Availability to reside in Piracicaba. Applications: via the link https://forms.gle
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includes geologists, atmospheric scientists, paleontologists, and oceanographers. Additional information about the department may be found at: https://science.gmu.edu/academics/departments-units/atmospheric
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, machine learning and computer vision techniques, statistical data analysis, and Python programming. Activities will include field calibration and validation of models and data integration into a decision
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, brings together around 300 people and is one of the leading centers for fundamental research in biology in the Paris region. The host team (https://www.ijm.fr/recherche/duharcourt-lab-vf/ ) is particularly
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collaboration with experimental scientists. Our group develops and maintains open-source software for data analysis, including HiCognition (https://www.hicognition.com) for interactive exploration of genomics
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degree in computer science, mechatronics, or electrical engineering. Strong programming skills (C/C++, Python; hardware description languages such as HLS or VHDL are an advantage). Knowledge of computer
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designing intuitive user experiences, developing backend services, and supporting data workflows. Emphasizes JavaScript-based UI development, Python, API development, and SQL, with a focus on delivering
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statistical analysis of neuroimaging data. Implement, document, and maintain analysis scripts using Python and/or MATLAB. Integrate cognitive, affective, behavioural, and neuroimaging datasets to test
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will work in close collaboration with Guy Theraulaz, Clément Sire, and their partners in Marseille. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR5152-MALBEN-011/Candidater.aspx