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for Interdisciplinary Data Science and Artificial Intelligence (CIDSAI) at NYU Abu Dhabi seeks to recruit a motivated and passionate post-doctoral associate to work under the supervision of Dr. Hanan Salam on the : (1
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) invites applications for one Post-Doctoral Research Fellowship in Digital Transformation, Artificial Intelligence, and Smart Cities, as part of a prestigious grant awarded under the UK’s International
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Position Overview: We are seeking an outstanding Postdoctoral Researcher in Artificial Intelligence (AI) and Data Science with expertise in multi-omics data integration for health and precision
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CBS - Postdoctoral Position, Artificial Intelligence Applied to Metabolomics for Health Applications
Position Overview: We are seeking a highly qualified Postdoctoral Researcher to join its multidisciplinary research team working at the intersection of Artificial Intelligence (AI), Metabolomics
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04.06.2025 Application deadline: 01.07.2025 The chair in Law and Artificial Intelligence at the Faculty of Law at the University of Tübingen, held by Prof. Dr. Michèle Finck currently has one
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, separation, and catalysis, with a focus on carbon capture and conversion technologies. Artificial Intelligence: Leveraging AI and machine learning to optimize material design and catalysis processes. Carbon
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on advancing agricultural food technology through the integration of artificial intelligence (AI). Specifically, the Postdoctoral Scholar is expected to conduct intellectual research involving parallel and
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Location ESTEC, Noordwijk, Netherlands Our team and mission Internal Research Fellow (PostDoc) in Artificial Intelligence for Space Systems in the AI and Data Science Section, Future Engineering
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The Computational Cognitive Science DCS) department performs cognitive and computational research in the domains of Artificial Intelligence and Cognitive Science and runs educational programs
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Inria, the French national research institute for the digital sciences | Bures sur Yvette, le de France | France | about 16 hours ago
physiological and neural recordings (EEG, fNIRS, ECG, blood pressure, and PPG) with advanced signal processing, mathematical modeling, and artificial intelligence. This project aims to provide new insights