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, environmental health and sound and image mapping. Grounded knowledge of Portugal’s current context in the project’s topics is expected.experience in organisation and facilitation of relevant scientific and
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the areas of signal processing for wireless communication systems including satellite communications and radar systems and is currently expanding its research activities in exploring several emerging use
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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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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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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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sources (surface acoustic waves) and phonon detectors for phonon signal modulation; Contribute to the group’s dynamics taking part in common research and methodology development initiatives; Disseminate
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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
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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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Nanophononics is a promising field with great potential for controlling sound and heat at the nanometer scale. Over the past thirty years, intensive research on the vibrational properties of semiconductor
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-coordinating internal scientific events and activities. What we ask of you The successful candidate will have: PhD degree in Human-Computer Interaction, Urban Sciences, Disability Studies, or related