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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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Description: Apply Position Description Boston University invites applications for two Artificial Intelligence (AI) in Business faculty positions at the rank of non-tenure track Clinical Associate Professor in
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, engineering, public health, and health sciences including strong affiliations with the Institute for Intelligent Systems , which focuses on interdisciplinary cognitive science, artificial intelligence, and
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industrial partners working at the intersection of AI and digital education. Mandatory requirements Master’s or PhD degree in Computer Science, Artificial Intelligence, Machine Learning, Computational
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 15 days ago
the Professional Services Group. The School of Computing has a strong foundation in computing and information sciences at the University. We are a transformative centre for research in artificial intelligence and
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. Research in the lab is highly multidisciplinary and quantitative, requiring development and use of cutting edge computational modeling and statistical analyses (including machine learning and artificial
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of our era. We foster excellence in both fundamental and applied research, spanning fields such as neuroscience and cognition, humanoid technologies and robotics, artificial intelligence, nanotechnology
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of artificial intelligence (AI) by financial sector firms (FsF) in support of the transition to a sustainable global economy, while addressing tensions between AI innovation and economic, environmental, and
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seeking a PhD candidate in computer architecture. The research focus of this PhD position is the design of performant and energy-efficient Edge Artificial Intelligence (AI) accelerators. Such accelerators
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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