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Engineering, Computer Science Desirable skills/interests: Signal processing, wireless communications, hands-on experience with hardwares Objectives: Low-power RF front-end design to monitor mm-wave spectrum
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structures and learning objectives that disentangle sound representations according to well-understood signal characteristics reflecting the underlying sound generation process. By making this understanding
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meetings, research proposals, supervision of bachelor and master students, invigilating exams, student recruitment activities, etc.). a master degree in social sciences a high grade point average
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these challenges by exploring and developing advanced methodologies for wind turbine drivetrain condition monitoring. The successful candidate will primarily focus on: Signal processing techniques: Developing and
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neuromorphic ultra-low-power active sensor readout and processing at the edge. The chip design will enable online learning capabilities, aiming at modulating the spatio-temporal filtering properties with
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hub investigating the critical roles of ion channels—particularly the TRP superfamily—in physiological and pathological processes. Our interdisciplinary approach spans from foundational
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critical roles of ion channels—particularly the TRP superfamily—in physiological and pathological processes. Our interdisciplinary approach spans from foundational electrophysiology to translational models
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the program. Additional Information Selection process Application To ensure your application is considered, please follow the instructions below carefully. Incomplete or incorrectly submitted applications will
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qualifications for the position, 1 recommendation letter, and a CV (Europass type) including information on university degrees (if possible with Grade Point average scores) and optional additional reference
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Project summary Growing evidence suggests that allergic immune responses in the gut can influence the brain, but how these signals are transmitted and whether they contribute to brain disorders