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emphasizes statistical inference within high-dimensional testing frameworks and incorporates robust feature selection into artificial intelligence techniques. The team collaborates closely with the Stanford
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artificial intelligence, biology, (cognitive) neuroscience, genetics, linguistics, mathematics, neurobiology, neuroimaging, neurology, neurophysics, philosophy, physics, psychiatry, and psychology
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wireless communications for three decades. For further information, please see here: https://www.kcl.ac.uk/research/ctr About the role 5G networks are a key enabler for the economy and society’s growing
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research in artificial intelligence (AI) and will provide a three-year fellowship to nurture competent scientific leaders in AI. It is open to applicants of any age, nationality, or background. Applicants
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robotics, automation, artificial intelligence (AI), and data-driven technologies. This is a multidisciplinary collaborative project supervised by Dr John Ward, Professor. Andy Cooper FRS, and Dr Gabriella
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, artificial intelligence, robotics, visual computing, theory, databases, bioinformatics, HCI, and software engineering. The department has grown from 550 undergraduate majors in 2012 to over 2,400 today
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and are intended for candidates seeking long-term academic careers. We are looking for candidates with strong expertise in one or more of the following domains: Artificial Intelligence Cybersecurity
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Studies (ZTW) is looking for a German and English-speaking prae-doc candidate to join the HAITrans (Human and Artificial Intelligence in Translation) research group and contribute to the group’s
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established classical protection schemes with data-driven methods, including artificial intelligence and machine learning. The proposed protection strategies are expected to exhibit the following key attributes
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of interdisciplinary experts who merge clinical endocrinology, artificial intelligence, data science, engineering, ethics and law into an integrated field of digital endocrinology. Interested in