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on AI-assisted reverse engineering of integrated circuits for hardware assurance and intelligence analysis. The project is conducted within the Deep Learning for Perception and Data Science, Safety and
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that employ novel virtual reality and robot-based paradigms. We are also leveraging several analytical tools such as computational modelling and machine learning. As a Research Assistant, you will help collect
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project and help shape the future of reliable, sustainable power electronics. Job description The successful candidate will conduct research within the EU-funded Moore4Power project on health monitoring and
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Join a leading research team and a cutting-edge European research project and help shape the future of reliable, sustainable power electronics. Job description The successful candidate will conduct
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scientific initiative focused on AI-assisted reverse engineering of integrated circuits for hardware assurance and intelligence analysis. The project is conducted within the Deep Learning for Perception and
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. Furthermore, you will apply these tools to help us investigate the potential causes and timings of flare ups during patients’ daily lives. You will work primarily with video data, musculoskeletal models, and
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internationally. There may also be the opportunity to assist with a research cruise in Antarctica. Job requirements Master's degree in Earth sciences, oceanography, physics, applied mathematics, or engineering
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, reading scientific literature, are eager to develop new skills, and thrive in an international, collaborative setting. A good sense of humour will help you feel at home in our team. You also bring: - a
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Want to help replace painful prostate biopsies with smarter ultrasound? Join MOMENTUM, an NWO-funded project developing nanobubble-enhanced ultrasound imaging for cancer diagnostics, and design the
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the Job related to staff position within a Research Infrastructure? No Offer Description Welcome to Maastricht University! What if metabolically induced inflammation could help explain why COPD develops