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Laboratoire National de Métrologie et d'Essais - LNE | Paris 15, le de France | France | about 1 month ago
coordinate data points whose individual measurement uncertainty is, in general, to be considered worse than those of more classical approaches. A sophisticated large data volume post-process incorporating data
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@inserm.fr Requirements Research FieldBiological sciences » Biological engineeringEducation LevelPhD or equivalent Skills/Qualifications Main responsibilities: Bioinformatics, data indexing, large-scale
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3 Oct 2025 Job Information Organisation/Company CNRS Department Institut de Neurosciences de la Timone Research Field Neurosciences Psychological sciences » Cognitive science Psychological sciences
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have a strong interest in both theory and numerical work. Numerical work involves code development (e.g., changing the C++ LAMMPS code, programming of data analysis tools, etc.), carrying out large-scale
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9 Oct 2025 Job Information Organisation/Company CNRS Department Centre de Nanosciences et de Nanotechnologies Research Field Engineering Physics Technology Researcher Profile First Stage Researcher
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2 Oct 2025 Job Information Organisation/Company CNRS Department Laboratoire d'Informatique et des Systèmes Research Field Computer science Mathematics » Algorithms Researcher Profile First Stage
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14 Sep 2025 Job Information Organisation/Company CNRS Department Centre de Recherche sur la Biodiversité et l'Environnement Research Field Physics Researcher Profile Recognised Researcher (R2
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17 Oct 2025 Job Information Organisation/Company Université Savoie Mont Blanc Department LOCIE Research Field Engineering » Process engineering Technology » Energy technology Environmental science
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in Statistics, Bioinformatics, Computer Science or other relevant disciplines with a strong quantitative background. Previous experience working with large scale data are welcome. Contact: Interested
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Research FieldPsychological sciences » PsychologyYears of Research ExperienceNone Additional Information Eligibility criteria The candidate should have experience in modeling large-scale networks comprising