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and FCT code. 2023.18225.ICDT and e DOI https://doi.org/10.54499/2023.18255.ICDT , funded by COMPETE 2030 by Portugal 2030, and by the European Union financial support from national funds/OE through
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learning, physical AI, and spatial AI. The RA will contribute to the development of innovative algorithms, data preparation pipelines, and experimental evaluations that are central to the Physical Vision
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/or experience with reconstruction algorithms for particle physics would be a plus. Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR5033-ALEVAL-004/Default.aspx Work Location(s
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 39 minutes ago
. Nutrition for Precision Health, powered by the All of Us Research Program is a new initiative to develop algorithms that predict individual responses to food and dietary patterns. The NPH Consortium consists
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to support reliable DAS interpretation and urban infrastructure monitoring. Key Responsibilities: Develop automated, uncertainty-aware algorithms to infer and map fiber-optic cable routes from DAS-derived
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wide-field surveys (ZTF, LSST, Argus). • Develop algorithms for low-latency multi-messenger searches combining gravitational-wave, gamma-ray-burst, fast-radio-burst, and optical detections. • Make
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simulation methods and scientific software development. The successful candidate will contribute to research and development on: EMT simulation of future power systems. Simulation methods for converter
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engagement, online communities, influencers and creators, digital advertising and public relations, algorithms and platforms, artificial intelligence and media, misinformation, or the social and cultural
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connections. The project will have theoretical and algorithmic developments, software developments, and industrial case studies. Duties of the position Complete the doctoral education until obtaining a
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reduced teaching responsibilities. We are a federal competence center for AI education and research. Our research pushes the boundaries in numerous aspects of intelligence, including algorithms and models