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, signal processing, sensor fusion, machine learning, and data-driven modeling, with the broader goal of advancing human-centered intelligent infrastructure, smart cities, and resilient communities
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to a future in which we can rely on better robots, autonomous networks, and other smart systems – impacting domains such as healthcare, transportation, and other areas of our society. These systems
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predictive maintenance in chemical plants. Key Responsibilities: Create and implement hybrid AI models that merge machine learning techniques with mechanistic frameworks (like physics-informed neural networks
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Can technology learn to listen to how athletes feel, and not just to what the sensors measured? In the ASPIRE project, we develop knowledge for the new generation of sports tracking technology that
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flood-analysis methods. Coordinate field measurements and model validation along selected urban transects, including microclimate sensors, thermal observations, photogrammetric surveys and field
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Description We are now looking to appoint a postdoc in Soft Electronics, placed at the Department of Science and Technology, Campus Norrköping Research area The Laboratory of Organic Electronics (LOE, https
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, please visit: http://uhr.rutgers.edu/benefits/benefits-overview . Posting Summary Rutgers, The State University of New Jersey, is seeking a highly qualified candidate for a Postdoctoral Research Associate
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models, whilst respecting the specific spatial structure induced by river networks. - Cleaning, structuring and analysing historical long-term monitoring data (approx. 200 sites). - Adaptation and
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characterization of microfabricated optomechanical devices used as gravity sensors. The postdoctoral researcher will also contribute to the scientific supervision of a PhD student working on these topics. Design
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | about 2 months ago
research subject:https://www.defrost.inria.fr/project/horizon-europe-ire-2024-2028/ (project page) and https://www.defrost.inria.fr/research/publications/ (DEFROST team publications) Collaboration