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operations of chemical (mixing process in deep bed reaction systems), petroleum (oil-water separation systems), and biomedical industries (drug delivery encapsulating system) as well as in environmental
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research in navigable audio reproduction, acoustic sensing AND acoustic signal processing. Where to apply E-mail efren.fernandez@upm.es Requirements Research FieldPhysics » OtherEducation LevelPhD
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Two-year postdoc position (M/F) in signal processing and Monte Carlo methods applied to epidemiology
integrate the Laboratoire des Sciences du Numérique de Nantes (LS2N), in the Signal, Image and Sound (SIMS) team (https://www.ls2n.fr/equipe/sims/ ) and work on the campus of Centrale Nantes, a top-level
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in robotics, AI, signal processing, and autonomous systems to join the SonicEye research project, funded by the National Defence Technology Centre (NFC) and conducted in collaboration with leading
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qualifications are a plus: Experience in audio signal processing or speech processing. Experience in condition monitoring or predictive maintenance. Flexibility and self-motivation are desired skills at DTU. In
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communication, applied AI, or a related field. You have experience with machine learning and signal processing, and preferably knowledge of RF or wireless systems. You can work with experimental data (e.g
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informatics. It is expected that all members of the centre contribute to the general activities and collaborations within RITMO. The researchers have access to state-of-the-art facilities in sound/video
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behavior and/or brain physiology. A strong analytic background, particularly in modeling neural systems and analyzing large datasets. Experience with acoustic signal processing, sound recognition, and
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to the project, uniting experts in battery technology and acoustic signal processing and machine learning. The goal is to harness advanced data science techniques to establish a novel paradigm for online non
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background, particularly in modeling neural systems and analyzing large datasets. Experience with acoustic signal processing, sound recognition, and machine learning. APPOINTMENT TERMS This is a full-time, 12