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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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point processes. The postdoctoral researcher's work will take place within the framework of an international CRCNS/NIH/ANR/BSF collaboration. The successful candidate will also spend time in the partner
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Laboratoire de Physique des Interfaces et des Couches Minces (LPICM), UMR CNRS/École Polytechnique, | Palaiseau, le de France | France | 14 days ago
multidisciplinary team involving image processing labs (e.g., CMAP) and French hospitals (e.g., CHU Kremlin-Bicêtre, Hôpital Foch, Institut Mutualiste Montsouris, Institut Gustave Roussy). Phase 1: Design and develop
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available for onsite translation, how the axonal and dendritic RNA landscapes are locally organized and regulated to integrate external local signals is to date unclear. The objective of the PhD project will
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of these oxides using transmission electron microscopy (derived from an innovative process developed at LEPMI). He/She will help refine the structural models of the oxides resulting from the processes
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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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to work in a world-class university research group? Do you like signal processing, mathematics, physics and electronics? Do you enjoy programming (MatLab, Python), architectural design and experimentation
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on the aptitude of the candidate(s), the project could be oriented on the instrumentation and the development of signal processing algorithms, time series data processing and modeling, statistical analysis and
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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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range of computer vision tasks. Their strong representational capacity, however, comes at the price of significantly higher computational complexity and memory requirements. This poses a major challenge