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. Ke can be found at https://sites.google.com/view/kejintao . Requirements Candidates should possess a Ph.D. degree in Transportation Engineering, Civil Engineering, Computer Science, Data Science
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papers for context relating to ongoing experiments: Bauer et al 2023 J. Neural Eng: https://doi.org/10.1088/1741-2552/acd0d7 Ning et al. 2026 bioRxiv: https://doi.org/10.64898/2026.04.21.719912 Mohanty et
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required. Requirements a Ph.D. degree in Organic Chemistry, Medicinal Chemistry, Chemical Biology, Pharmaceutical Sciences, Peptide Chemistry, or a closely related discipline. Proven ability to independently
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- Experience in modelling aquatic systems - Fieldwork experience - Ability to interact with non-scientific stakeholders Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR5175-AXEGAY
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characterization of the wireless link (power + sensing) - Design and optimization of sensor-resonator coupling - Participation in in vitro and ex vivo testing We are seeking highly motivated researchers to join our
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: Safeguarding Users’ Cognitive Autonomy in Human-AI Interaction Cognitive autonomy, our fundamental ability to think independently, is under threat from growing reliance on artificial intelligence (AI) technology
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would be an asset Ability to work in a team and collaborate with industrial partners Project management, scientific writing Fluency in English (written and spoken) Website for additional job details https
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participates in the “Objectif Employeur Pro-Vélo” program. Where to apply Website https://emploi.cnrs.fr/Offres/CDD/UMR9002-CHABOU-009/Default.aspx Requirements Research FieldBiological sciencesEducation
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and an international collaborative network. The position will be based at the Laboratoire Ondes et Matière d'Aquitaine (LOMA), Bordeaux, France. Where to apply Website https://emploi.cnrs.fr/Offres/CDD
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 1 day ago
million commits. Most existing tools still treat code at the level of individual text files, which limits their ability to scale when changes span many files (e.g., automated refactorings, dependency