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Field
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-time studies, for up to a maximum of 3 years. Scholarship Details Maximum number awarded 2 Eligible courses Any HDR student wishing to study in the field of artificial intelligence Eligibility criteria
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Domestic scholarship to recruit a new cohort of domestic students into HDR programs in COBL. Domestic scholarship to recruit a new cohort of domestic students into HDR programs in COBL. $33,826 per annum pro rata (full-time study) for 3.5 years $33,826 per annum pro rata (full-time study) for...
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Privacy-Preserving and Reliable Artificial Intelligence to be occupied starting from the 01.10.2022. The Trustworthy and Privacy-Preserving AI Group (PI: PD Dr. Georgios Kaissis) at the Institute for AI in
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are looking for a candidate with perseverance and a committed spirit. You also have: a Master’s degree in Logic, Computer Science, Mathematics, Artificial Intelligence, or a related field; a solid background in
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University of Massachusetts Medical School | Worcester, Massachusetts | United States | about 3 hours ago
. Preferred qualifications: D. in Quantitative Genetics/Genomics, Computational Biology, or Related Discipline. Skilled in single-cell transcriptomic analyses, machine learning and artificial intelligence
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will be part of the section of Artificial Intelligence, Cybersecurity, and Programming Languages (ACP), an active, dynamic research group that combines bold research and a collaborative spirit. The
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per year for 3.5 years. Lead Supervisor’s full name & email address Dr Massimiliano Fasi: m.fasi@leeds.ac.uk Project summary The growing importance of artificial intelligence is fostering a paradigm
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the intersection of control theory, robotics, artificial intelligence, and signal processing, and is a key enabler of future intelligent infrastructure.This project will focus on the development of novel control
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Science Biomedical Engineering AI/Machine Learning Nanotechnology/Devices (more...) Electrical and Computer Engineering Health Tech Microelectronics BioNanotechnology Artificial Intelligence, Machine Learning and
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Your position Our group conducts research at the intersection of artificial intelligence (AI) and pediatric healthcare, developing AI and machine learning (ML) methods to address real-world clinical