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for indoor geolocation. The project also includes the prototyping of a computer system for point-to-point navigation within buildings, following on from the analysis. Where to apply Website https
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on the full-resolution signal, after severe quantization. Where to apply Website https://pica.cineca.it/unipg/ Requirements Additional Information Eligibility criteria Eligible destination country/ies
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, Communication Engineering, Computer/Data Science, Mathematics, or equivalent; – knowledge in artificial intelligence, image/signal processing, remote sensing, and radar remote sensing. Where to apply Website
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UNIVERSITA’ DEGLI STUDI DI FIRENZE - Dipartimento di Scienze e Tecnologie Agrarie, Alimentari, Ambientali e Forestali | Italy | 1 day ago
their physiological status both in the field and under controlled conditions. The integration of vibrations and ultrasonic signals will enable the identification of early indicators of plant stress and response Where
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Engineering, Communication Engineering, Computer/Data Science, Mathematics or equivalents; – background in artificial intelligence, image/signal processing, remote sensing, passive/active sensors. Where
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to improve the understanding of pathogenic processes and support the development of innovative strategies for the diagnosis and treatment of cholestatic diseases. Where to apply Website https://pica.cineca.it
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they struggle to process speech affected by medical conditions such as dysarthria, aphasia, or dysphonia. This research will develop multimodal models that can recognize unusual acoustic patterns and
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ALMA MATER STUDIORUM - UNIVERSITA' DI BOLOGNA - - DIPARTIMENTO DI INGEGNERIA DELL'ENERGIA ELETTRICA E DELL'INFORMAZIONE "GUGLIELMO MARCONI" | Italy | 7 days ago
domain-specific accelerators. RISC-V mesh-of-tiles platforms with vector units offer a scalable, energy-efficient foundation for ML inference and signal processing, but scaling edge AI efficiency still
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-MSCA-2024-DN-01 Neuromorphic Computing and Signal Processing Training Network project (MINDnet). About MINDnet MINDnet (Neuromorphic computing and signal processing training network) is a Marie
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processing of audio signals, with particular emphasis on the reconstruction of acoustic fields in reverberant environments using parametric and data-driven techniques. Where to apply Website https