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Field
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1st October 2026 Languages English English English The Department of Electronic Systems has a vacancy for a PhD Candidate in Machine Learning & Signal Processing for Industrial Applications Apply
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SINTEF, Equinor, and Total. The main objectives of the project include the development and the integration of signal processing and machine learning methodologies aiming to improve flow assurance via field
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combines microfluidics, bubble physics, and ultrasound signal processing to bring nanobubble imaging closer to clinical use. You will collaborate closely with a fellow PhD candidate, a postdoc, and a
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-low-power CMOS integrated circuits and systems, in-memory computation, signal processing, telecommunications, and semiconductor materials. We particularly welcome applications from individuals from
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localization, sensing, and tracking. This profile focuses on modelling, algorithm development, performance analysis, and signal processing for radio localization, sensing, and tracking in terrestrial and
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Shape the future of wireless communication through pioneering research in signal processing and physical layer communication! Job description Wireless communication is evolving rapidly, driven by
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to designated sponsor or associate contractor and second party locations within and outside the continental United States. We are searching for analytical engineers with signal processing skills to join the
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to designated sponsor or associate contractor and second party locations within and outside the continental United States. We are searching for analytical engineers with signal processing skills to join the
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knowledge of MATLAB/Python and signals processing Understanding of electromagnetics Genuine interest in battery technologies Experience with CAD and mechanical design How to apply: Interested candidates
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process, including downstream effects on other clinicians, patients, information flow and safety. This PhD project will examine the system-level impact of health AI, using human factors and systems