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, this PhD thesis will focus on the characterization of multipolar electrograms (EGM) through graph signal processing (GSP). The underlying hypothesis is that local propagation patterns in AF are associated
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language processing that address concrete problems and are both theoretically rigorous and interpretable. The PhD is funded by the ERC CoG PANDORA (Deep Multimodal Learning for Mining and Generation of Arguments
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funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The PhD student will join the
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21 Jul 2026 Job Information Organisation/Company Université Paris Cité Research Field Medical sciences » Cancer research Researcher Profile First Stage Researcher (R1) Positions PhD Positions
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, University of Lille, Inserm, Lille University Hospital) is a leading research center in integrative and computational neuroscience. Its expertise in neural signal processing, electrophysiological data analysis
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Inria, the French national research institute for the digital sciences | Rennes, Bretagne | France | 26 days ago
The candidate should have strong background in image/signal processing, optimization and programming, notions of source coding, information theory would be appreciated. LanguagesFRENCHLevelBasic
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. Anomaly Detection and Fault Diagnosis using Frugal AI • Selection, feature extraction, and construction of relevant indicators from electrical signals and supervisory data. • Study of signal processing
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become part of a laboratory that covers a wide range of fields, from statistical physics to hydrodynamic turbulence, including mathematical physics and signal processing, as well as soft and condensed
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/signal processing, and a motivation to work in an interdisciplinary environment. The project will involve experimental multiphoton microscopy (laser alignment, data acquisition), data analysis, programming
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production. By developing hybrid architectures combining ontologies, generative models, reinforcement learning, and uncertainty quantification, the PhD project addresses the challenges identified by ICCARE in