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(WP4); and from there (iii) build a harmonized RA for all LRP and determine its socioeconomic impact (WP5), (iv) to effectively communicate and disseminate the new RA knowledge and its associated tools
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lead sophisticated multimodal bioinformatics integration and analysis, collaborating daily with a diverse team of computational scientists and clinicians to translate complex data into actionable cancer
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: Establishing data exchange protocols with data providers in the sectors of automotive, nuclear fusion, packaging, aerospace and hydrogen production. Creating and using harmonized datasets to enable the use
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of automotive, nuclear fusion, packaging, aerospace and hydrogen production. Creating and using harmonized datasets to enable the use of LCA and the prototyping of the Digital Product Passports. Developing
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of automotive, nuclear fusion, packaging, aerospace and hydrogen production. Creating and using harmonized datasets to enable the use of LCA and the prototyping of the Digital Product Passports. Developing
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | about 1 month ago
presented in international conferences. Where to apply Website https://jobs.inria.fr/public/classic/en/offres/2025-09320 Requirements Skills/Qualifications Profile of the candidate: PhD in numerical analysis
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of harmonic analysis, partial differential equations, and mathematical physics. The problems to be studied include, but not limited to • Homogenization theory of partial differential equations. • Boundary value
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complementary monitoring techniques into robust best‑practice frameworks. Your tasks Coordinate eDNA workflows: Liaise with consortium partners to harmonize sampling protocols, sequencing pipelines, and data
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 8 hours ago
Organization National Aeronautics and Space Administration (NASA) Reference Code 0326-NPP-NOV25-JPL-EarthSci How to Apply All applications must be submitted in Zintellect Please visit the NASA
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The SSHRC-funded HubMeta Lab project is undertaking the largest-ever meta-analysis of SME growth studies (over 2,500 full-text articles coded to date). We have uncovered extraordinary variability in