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to Apply To apply click on ‘Apply Online’ and fill out the application form. Further information about the application process can be found here: https://jobs.uwl.ac.uk/display.aspx?id=1253&pid=0 Please
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department at www.es.aau.dk . The Centre for Acoustic Signal Processing Research at the Department of Electronic Systems, Section on Artifical Intelligence and Sound, Aalborg University, Denmark, aims to
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related field. Have relevant competence in acoustics, vibration, and structural dynamics. Familiarity with signal processing and vibration/acoustic analysis techniques. Experience with data analysis using
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) - Signal processing and image analysis (Python) - Oral presentation of scientific results at meetings and international conferences. Where to apply Website https://emploi.cnrs.fr/Offres/Doctorant/UMR5295
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processing of audio signals, with particular emphasis on the reconstruction of acoustic fields in reverberant environments using parametric and data-driven techniques. Where to apply Website https
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signals. Excessive sound can rupture tip links, silencing the hair cell. In vitro studies show that tip links can re grow within 24–48 hours[4,5], but little is known about how this repair process behaves
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mechanisms. The project will combine experimental studies with advanced signal processing and AI techniques (compressed sensing), aiming to detect early signs of failure and enable predictive maintenance
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acoustic imaging, artificial Intelligence and signal processing. They will develop skills in both modeling and experimentation. Location and Environment: The student will conduct their research
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(such as geological maps, material properties, and usage profiles) with dynamic sensor measurements (including pressure, vibration, visual, acoustic, and X-ray signals). The PhD candidate will investigate
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Oldenburg Oldenburg, Niedersachsen | Germany | 14 days ago
science, or a related subject Experienced in acoustic propagation modelling, signal processing, and data mining A strong background in programming, statistical analysis, and spatial modelling and mapping