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members of staff. Research in the Department is organised into six themes : Causality; Computational Statistics and Machine Learning; Economics, Finance and Business; Environmental Statistics; Probability
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intelligent systems aim to optimize power usage without compromising performance, employing strategies like power-aware computing and thermal-aware optimization. These systems are crucial in extending
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, Computer Science and Artificial Intelligence. The environment fosters truly interdisciplinary research with a great track record of national and international collaboration transferring knowledge across domains
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into the co-design of ultra-low-power AI hardware architectures tailored for edge computing applications. The research aims to develop neuromorphic processors, FPGA/ASIC-based AI accelerators, and intelligent
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motivated doctoral student eager to make a difference in robotics and artificial intelligence. Candidates should have a master’s degree in electrical engineering or computer science or completed coursework
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and/or interest in the following relevant fields: artificial intelligence and cybersecurity. The candidate will have the opportunity to work on a collaborative project with a leading industry in
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, Computer Science and Artificial Intelligence. The environment fosters truly interdisciplinary research with a great track record of national and international collaboration transferring knowledge across domains
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Full-time enrolment in a PhD program at Curtin University Background in artificial intelligence, computer vision, or structural/civil engineering Demonstrated research experience, with evidence of
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information, see www.universiteitleiden.nl/en/science and https://www.universiteitleiden.nl/en/working-at . The Leiden Institute of Advanced Computer Science (LIACS) is the Artificial Intelligence and
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for advanced courses, international research visits, and networking across Sweden’s top universities. Information about the research group The Computer Vision Group at the division of Signal processing and