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position within a Research Infrastructure? No Offer Description The Department of Computer Science wishes to appoint academics to strengthen our growing Artificial Intelligence and Machine Learning Research
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position within a Research Infrastructure? No Offer Description The Department of Computer Science wishes to appoint academics to strengthen our growing Artificial Intelligence and Machine Learning Research
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policies. ● Data management and/or data analysis experience or aptitude. About the Department To learn more about the Department of Neurology, please visit https://med.umn.edu/neurology . Pay and Benefits
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. We welcome applicants with a PhD (or equivalent) in biostatistics, statistics, or a closely related quantitative field. We seek scholars with training in biostatistics/statistics and demonstrated
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development of Northern Ireland. Our core business activities are teaching and learning, widening access to education, research and innovation, and technology and knowledge transfer. - THE ROLE - The role
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-class or 2:1 (or international equivalent) Master’s degree in Computer Science, Robotics, Mechatronics or Electronic/Electrical Engineering, or a related field. • Knowledge of machine learning/deep
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) at Norwegian University of Life Sciences (NMBU) has a vacant 3-year PhD–position related to developing deep learning models for 3D forest point clouds. The position is part of "SmartForest" (www.smartforest.no
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, Machine Learning, Artificial Intelligence, Computational Linguistics, or a related field) Strong skills in machine learning and deep learning Experience with modern NLP methods, including transformer models
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the Faculty of Applied Science & Engineering at the University of Toronto invites applications for a full-time teaching stream position in the area of Artificial Intelligence and Deep Learning. The appointment
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emerging as a promising paradigm to overcome bottlenecks in conventional computing, offering ultra-fast and low-energy information processing. Recent advances include both spiking and deep learning schemes