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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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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
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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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Integrated optics is currently experiencing unprecedented growth, driven largely by the rapid expansion of artificial intelligence (AI), cloud computing, and high-performance data processing
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will find more information about working at NTNU and the application process here. About the position We have a vacant 100% PhD position in the MRI Physics Group at the Department of Physics, NTNU
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for the position. Preferred selection criteria Experience with machine learning and neural networks Basic knowledge of MR physics Experience with signal processing and/or image processing Experience with Linux
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and spoken English. Experience with radar, signal processing, computer vision, autonomous driving, or sensor fusion is advantageous. TU Delft (Delft University of Technology) Working at TU Delft means
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PhD position to research novel fast controlled photonic integrated switches for low latency and highly scalable AI compute clusters. The electro-optical communications (ECO) group in the Faculty