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signal processing, with experience in machine learning, deep learning, or AI methods. Familiarity with semantic segmentation, anomaly detection, or pattern recognition techniques is highly valued. Sensor
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At the Faculty of Engineering and Science, Department of Materials and Production a position as PhD stipend in Muscle Neuromechanics and Ultrasound Imaging, within the doctoral programme Materials
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interdisciplinary competences in: communication theory, networking, information theory, physics, mathematics, computer science, and statistics. This PhD project falls under Research Thrust RT3 on representation
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