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school, with skills in numerical analysis, signal analysis, programming (C++, python), and machine learning. The candidate must be motivated by biomedical engineering, and physiological knowledge, although
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analysis, signal processing, and programming. Motivation for biomedical engineering is required, although knowledge in physiology is not mandatory. Additional Information Work Location(s) Number of offers
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Institut Lumière Matière ILM- UMR 5306 CNRS / Université Claude Bernard Lyon 1 | Villeurbanne, Rhone Alpes | France | 26 days ago
Description Surface Acoustic Wave (SAW) devices have emerged as promising candidates for the advancement of rapid, low-cost, lab-on-chip point-of-care biosensors. These biosensing devices offer potential
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using the relative frequency (probability of occurrence) of each permutation pattern (Bandt and Pompe, 2002). Ordinal patterns have an implicit connection with many signal processing methods such as the
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in biomedical electromagnetics cover a wide spectrum of fundamental and applied research spreading from multi-physics and multi-scale modelling to biomedical radars and advanced technologies for body
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biomedical applications where they are employed for biomagnetic signal detection or point-of-care diagnostics1. The former involves the detection of the magnetic field emanating from the organs like heart
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PHD title: Science physique et de l'ingénieur PHD Country: France Requirements Specific Requirements The candidate will have advanced skills in electronics, physics, electromagnetism, biomedical
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26 Apr 2024 Job Information Organisation/Company Université Claude Bernard Lyon 1 Department CNRS-INSA-INSERM Research Field Engineering » Biomedical engineering Researcher Profile Recognised
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Information Additional comments Requested profile : - Graduated from MSc in biomedical engineering and/or signal/image processing and/or biophysics Expected technical and scientific skills: - Biological tissue
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(training will be carried out at the beginning). Required: MSc (or equivalent) in neuroscience, biomedical engineering, computer science, or related fields; very strong background in neural signal processing