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the project. The position will involve travel for work-related assignments. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR5267-FABHIR-005/Candidater.aspx Requirements Research
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the performance and sensitivity of a future space mission for cosmology. The candidate will be required to simulate the performance of a specific instrument using Python code in order to predict the sensitivity
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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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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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Inria, the French national research institute for the digital sciences | Rennes, Bretagne | France | 3 days ago
support services. The hired engineer will be a member of the KerData Inria team (https://team.inria.fr/kerdata/ ) led by Gabriel Antoniu. KerData is a joint research team of Inria Rennes - Bretagne
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to the University of Gdańsk Remuneration Regulations. COMPETITION DEADLINE: February 23, 2026. Keywords: econometric modeling, statistical tools, computational programming (R, Python), BI methods. REQUIREMENTS
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courses). - Proficiency with computer tools: R, Python, Bash, Perl, Java, SQL. - English: High-level language proficiency. - Willingness, ability to learn, and teamwork skills will be valued. - Experience
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with the microfluidic live-cell imaging platform and provide Python/Jupyter-based tools for collaborators, contributing to FAIR datasets and open-source software (Co-)Supervise student projects at BSc
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, visit: https://sites.google.com/view/tommaso-giovannini The ideal PhD candidate has: a solid background in theoretical/computational condensed-matter physics or chemistry (MSc in Physics, Chemistry
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, Stata, Python, etc.); • Experience with spatial analysis or georeferenced data (considered a plus); • Interest in public security policies. Application Period: January 26 to February 15, 2026 Link