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and analysis Gaussian processes, random functions, rare events, harmonic analysis Shira Faigenbaum-Golovin Manifold learning, shape space analysis, machine learning, mathematics of data
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REQUIRED: Ph.D. in chemical engineering or other related engineering field; expertise in lifecycle assessment, technoeconomic analysis, and process modeling; excellent communication skills; ability to work
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data from measurement and observation networks, as well as snow testing protocols, to provide access to a larger, harmonized information system on both sides of the border; Mutual training and
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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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: 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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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 6 days 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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Okinawa Institute of Science and Technology, Analysis and Partial Differential Equations Unit Position ID: 3260 -POSTDOC [#26877] Position Title: Position Type: Postdoctoral Position Location: Onna
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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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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