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of the scientific publications • Motivation letter • Letter of recommendation of the thesis supervisor Description of the topic: Change-point detection (CPD) is a fundamental problem in statistics and machine
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accepted intervention protocols is still an open challenge. The noninvasive analysis of AF can be carried out by processing cardiac signals recorded by electrodes located on the patient’s skin, giving rise
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light pulse travels through an optical fiber, it interacts with tiny impurities in the material, causing optical backscattering. Processing this response provides estimates of the local variations in
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transcripts of a master’s degree(s) or equivalent • At least, one letter of recommendation • Internship report, if possible Description of the topic: Change-point detection (CPD) is a fundamental problem in
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Keywords Digital twin, signal processing, AI, operating room, risk management, healthcare improvement. Context Surgery represents a strategic area for improving practices with high potential
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immune cells in Alzheimer’s disease. Our lab investigates how immune cells and signals shape brain development, activity, and aging. In this project, we aim to dissect the contribution of adaptive immune
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writing Preferred: Experience with MATLAB (especially for auditory modeling or signal processing) Familiarity with audiological data and test batteries Working knowledge of French is a plus Candidates
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of 2D or 3D data to process, specific morphological pattern. The last point is of particular interest, because the shape clustering in GMM is performed by selecting ad-hoc points from a 3D point cloud
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Context. The initial great promise of 3D geometric modeling and processing was to achieve for shapes what had been done in digital signal processing for sound and images. Over the last twenty years
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, the exploitation molecule fluctuations attracted the interest of the community due to the fact that it does not need specific fluorophores nor specific illumination or microscope. In this context, the process of