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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month ago
the possibility of reappointment for an additional year. It will involve developing, implementing, and validating novel algorithms for analyzing SWOT data; writing scientific papers; and presenting research
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match human expectations. It is a major challenge to develop agents and frameworks that account for uncertainty, risk and interaction in the way humans do. As human behavior depends on a tightly
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following good software development practices. Planning algorithms for autonomous systems. The candidate will be part of the new NYU Center for Robotics and Embodied Intelligence at NYU Tandon School
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both academic research and industrial applications. In addition to theoretical research, the work might involve implementing new algorithms in the SCT tool Supremica, which is developed by the Automation
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project within the SusMax network focused on developing interpretable machine-learning frameworks for kinetic multiphase reaction-network discovery in the catalytic conversion of renewable feedstocks
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As a fellow you will join our faculty in the Department of Biostatistics, providing statistical support and developing innovative biostatistical methods for research projects at the cutting edge
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Your Job: Developing and implementing QC algorithms (QAA, QAOA, QSVM), quantum AI algorithms, use case adapted algorithms to test and benchmark latest technology focusing on gate-based QC Advancing
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outcomes ●casual representation learning for real-world data ● deep learning interpretation, fairness and robustness ●Regularly conduct computational experiments to execute algorithms on various health and
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at McGill University), do not apply through this Career Site. Login to your McGill Workday account and apply to this posting using the Find Jobs report (type Find Jobs in the search bar). Development of a new
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, Medicine, or Engineering) demonstrated experience or knowledge of one or more of the following: computational algorithm development working with medical images, in particular CT or cone-beam CT a