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transportation systems. Among the countless open research problems, collective perception is a relevant topic involving artificial intelligence functionalities. The candidate for this position will contribute
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Dr Sendy Phang. The student can gain experience and skills in a range of topics, such as Artificial Intelligence and Deep Learning, nanofabrication, computational modelling, metamaterial design, and
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Dr Sendy Phang. The student can gain experience and skills in a range of topics, such as Artificial Intelligence and Deep Learning, nanofabrication, computational modelling, metamaterial design, and
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who meet the following profile: Educational background: You hold (or are close to obtaining) a Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a closely related discipline
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engineering, to interdisciplinary fields such as artificial intelligence,nanoscience and biomolecular sciences. Our community has an open and informal character with students and staff from around the world. A
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focus will be on biomechanics, image processing, machine learning (ML), artificial intelligence (AI), and metrology, the student will also contribute to the co-design of cadaver experiments and data
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of electrical systems and system analysis to find possibilities for electrification and decarbonization diagnostics and monitoring of equipment and systems cyber security, 5G data communications, and artificial
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systems, with a clear understanding of intersectoral scientific fields ranging from optical fibre communication design and implementation, components fabrication, artificial intelligence, and techno
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for an ambitious PhD student on perceptual foundation models. Your research is part of the Video & Image Sense Lab. Join our team! Recent breakthroughs in Artificial Intelligence resulted in the emergence
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team! Recent breakthroughs in Artificial Intelligence resulted in the emergence of the first generation of foundation models that are capable of transfer across conditions and tasks. This opened entirely