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Nonstationary signals are at the forefront of modern statistical analysis, as many observed phenomena cannot be adequately modeled by stationary processes. The NOMOS project aims to develop a new generation of
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Inria, the French national research institute for the digital sciences | Bures sur Yvette, le de France | France | 12 days ago
physiological and neural recordings (EEG, fNIRS, ECG, blood pressure, and PPG) with advanced signal processing, mathematical modeling, and artificial intelligence. This project aims to provide new insights
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, 1008-1019; Huang et al., 2023, Plant Cell 35, 3845-3869). PD closure and antiviral immunity depend on the plasma membrane-localised PRR coreceptor SERK1 and downstream SERK1-dependent signalling, further
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background in physics, biomedical imaging, mechanics, or signal processing. Previous experience in MRI (sequence development, instrumentation), biomechanical modeling, or advanced data reconstruction would be
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, signal processing. Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR5220-PAUMUL-003/Default.aspx Work Location(s) Number of offers available1Company/InstituteCentre de Recherche En
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are mixed and detected by a photoreceiver that translates the optical signal into the radiofrequency (RF) domain. As a result, each pair of comb lines produces a signal at a unique RF frequency, allowing a
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perception with a comparative, cross-species (animal – human) component. The selected candidate will establish a non-human primate (NHP) model of scalp EEG signals related to perception, compare it to human
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Astrophysics (MPO), Stellar and solar Physics, Signal and Image processing (Signal), Theory and Observation in Planetology (TOP) and Turbulence, Fluids and Plasma. It is the birthplace and remains a world leader
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for applications : 10/09/2025 Research project or operation The host laboratory studies the genetics of various immune deficiencies in humans. Several new genes responsible for these deficiencies have recently been
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innovative methods for processing and analyzing 7Tesla MRI images of different modalities and formats (NIFTI, DICOM, etc.) using machine learning and artificial intelligence techniques. These methods will be