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Field
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: Ph.D. in Electrical Engineering, Computer Science, Operations Research, Applied Mathematics, or related fields Strong background in game theory, mechanism design, control systems, and/or learning theory
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into societal benefits. Our strategic vision, HealthyPlants, Healthy People, Healthy Planet , sets out our ambitious long-term goals for the game changing impact of our science globally. Our employees enjoy
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of technology, economy and our everyday life. Machines perform comparably to, or even surpass humans in playing board and computer games, driving cars, recognizing images, reading and comprehension. It is
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expertise with game theory is a plus but not required. Ideally this person would have a Ph.D. in operations research, computer science, applied math or a related field. The focus of this person’s research
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for the game changing impact of our science globally. Our employees enjoy access to state-of-the-art technology and a diverse range of specialist training opportunities, including support for leadership and
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educate students in the principles and methods essential to the practice and advancement of civil and environmental engineering. The program is proactive and continues to incorporate new and emerging
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funded by EPSRC. The project will be led by Carmine Ventre, https://www.kcl.ac.uk/people/carmine-ventre . The role holder will join the Distributed AI group in the Department of Informatics at King’s
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to join the SoundMind Collaboratory and Brain Game Center for Mental Fitness and Well-being at Northeastern University. Together Seitz and Jaeggi have a broad research program that takes a lifespan approach
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Environment. CEBE is a strategic initiative funded by the Villum Foundation that seeks to strengthen research and development of sustainable solutions for the construction sector. The programme will run for 10
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humans in playing board and computer games, driving cars, recognizing images, reading and comprehension. It is probably fair to say that an artificial neural network can perform better than a human in any