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terms of electrical performance and manufacturing complexity (number of manufacturing processes and dispersion tolerance). The best architectures will be designed (mask layout), in close collaboration
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of the excellent performance of PCM switches at very high frequencies. Target applications include measurement instruments, antenna signal control, and test circuits for active components such as transistors
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Eligibility criteria Instrumental optics and imaging (microscopy, camera detection) for biology. Skills in coding and experiment control. Basics of machine learning and/or signal processing. Teamwork
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expertise in plant sciences, optical technologies, and data processing. The existing imaging Mueller polarimeter, which is sensitive to the microstructural properties of biological tissues, will serve as the
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analysis - Previous practical experience and working knowledge of human neuroimaging (e.g. model-based fMRI). - Have a working knowledge of experimental statistics, signal processing and excellent
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teaching, at the service of the patient. It aims to better understand and treat electrical dysfunctions of the heart that are the cause of many cardiovascular diseases representing nearly a third of deaths
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analysis and visualization, signal processing, and ideally machine learning. • Working knowledge of Distributed Acoustic Sensing (DAS) and its applications in seismology (appreciated). • Aptitude
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microcontrollers (e.g., Arduino). Analysis and processing of biological signals Development of algorithms in Python for real-time signal processing. Extraction and analysis of multi-signal cross-frequency coupling
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of Research Experience1 - 4 Additional Information Eligibility criteria The recruited individual must hold a PhD in electrical engineering, signal processing, or fluid mechanics. This position requires
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. Demonstrated autonomy 2 to 5 years' experience in signal processing and observational seismology, ideally applied to environmental seismology. Where to apply Website https://www.aplitrak.com/?adid