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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 8 hours ago
and its core data science libraries (e.g., TensorFlow, PyTorch, Scikit-learn, Pandas, NumPy). Data Engineering: Experience in building and managing large, multi-modal data pipelines and repositories
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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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biochemistry, Biomedical Sciences or Chemistry. Mass spectrometry-based proteomics. Data analysis of large proteomics datasets. Experience in cell culture and molecular biology. Languages skills: fluent command
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research laboratory, excellent communication skills, excellent computer literacy. This research over a large span of life science topics and technical approaches, including genetics, biochemistry, cell
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9 Oct 2025 Job Information Organisation/Company CNRS Department Institut d'astrophysique de Paris Research Field Astronomy Astronomy » Astrophysics Astronomy » Cosmology Researcher Profile First
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 2 months ago
7 Oct 2025 Job Information Organisation/Company Inria, the French national research institute for the digital sciences Research Field Mathematics Researcher Profile Recognised Researcher (R2
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://reporter.nih.gov/search/zrvO6K1hkE2ue5ADGGGpag/project-details/10253367 ). This large clinical study is in the final stages of data collection; many products (i.e., peer-reviewed publications and presentations
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22 Oct 2025 Job Information Organisation/Company Nantes Université Research Field Engineering » Chemical engineering Researcher Profile Recognised Researcher (R2) Positions Postdoc Positions Country
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assembly and annotation Experience working on computer clusters and handling large datasets Laboratory skills including DNA/RNA extraction and library preparation Demonstrated advanced bioinformatics skills
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density structure of the star-forming interstellar medium”, funded by the Swedish Research Council (PI: J. Kainulainen). In this project, we combine novel observational data, such as Gaia-based dust density