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experimental parameters (time, temperature). To optimize these parameters, active learning techniques based on Bayesian optimization will be applied. In situ or ex situ characterizations (FTIR, ¹¹B/¹H NMR, HP
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: • PhD in Geography (Remote Sensing, Geomatics), Computer Science, Agricultural Sciences • Skills and/or knowledge in artificial intelligence (Machine Learning) and programming: proficiency in Python
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Inria, the French national research institute for the digital sciences | Paris 15, le de France | France | 16 days ago
to contribute to other ongoing activities of the QAT team: https://qat.inria.fr/projects The postdoc will also be involved in the supervision of interns and PhD students. While there is no teaching requirement
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 1 day 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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5 Sep 2025 Job Information Organisation/Company Télécom Paris Research Field Computer science » Computer systems Researcher Profile First Stage Researcher (R1) Positions Postdoc Positions Country
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colour centre spins. Your work supporting and further develops the fabrication of these chips, i.e. together with 1-2 PhD students, you will work on the sample process line involving several cleaning steps
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etcher, dedicated Plassys evaporator, ALD and PE-CVD machines, etc.). The Institut NEEL, UPR 2940 CNRS, is one of the largest French national research institutes for fundamental research in condensed
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FieldMathematicsYears of Research ExperienceNone Additional Information Eligibility criteria Academic: PhD in applied mathematics, computer science, or medical physics. Scientific interests: applied mathematics
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propriétés avantageuses du silicium. Cependant, la synthèse de structures aussi complexes reste un défi majeur, car les méthodes actuelles sont souvent complexes, comportent de nombreuses étapes et se limitent
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machine learning tools. The postdoctoral fellow will contribute to various aspects of the project, such as: * developing new theoretical and numerical approaches for determining the thermodynamic and