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the Computing & Engineering Department. The group is very dynamic, ambitious, well networked and delivers state-of-the-art research in a range of machine learning and data science topics, publishing research
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from the source. In the SOURCE-FFR impact study, we investigate the granular distribution of ultrafine particles around the airport of Frankfurt and look for possible long-term health effects. We run
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? Join our team to develop next-generation multi-aperture ultrasound technology combining distributed sensing, adaptive acquisition, image reconstruction, and AI-driven imaging for groundbreaking clinical
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to experimentally derived disorder models and data from methods such as total scattering/pair distribution function analysis, diffuse scattering, diffraction, solid-state NMR and electron microscopy. Work closely
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its Career Center, Teaching Center, and Office of Postdoctoral Affairs. As part of our vibrant scientific community, you will have access to state-of-the-art facilities and a network of
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leverages AI and cutting-edge infrastructure to optimize EV charging and energy systems. By integrating distributed energy resources, demand response, and storage, it aims to enhance grid flexibility and
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unique opportunity to work on innovative solutions to address global challenges; freedom and focus to conduct creative research while making an impact in relation to ESA’s strategy; a wide network of
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addresses the design of wholesale, balancing, reserve, and capacity markets under high shares of variable renewable generation; price formation, scarcity pricing, and locational signals; network charging and
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Bremerhaven, Bremen | Germany | 2 months ago
observations into accessible products for research, management and policy. Your Tasks Compile, curate and analyse existing Central Arctic Ocean and Southern Ocean datasets on fish distribution and ecosystem
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | about 2 months ago
. Leglaive, L. Girin, X. Alameda-Pineda, and R. Séguier, "A multimodal dynamical variational autoencoder for audiovisual speech representation learning," Neural Networks, 2024. 10. A. Ballou, X. Alameda-Pineda