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Field
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artificial intelligence and machine learning. The postdoctoral fellow will contribute to the development of a comprehensive, multi-modal framework for predicting and managing cardiovascular disease by
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Qualifications Candidate must have knowledge and strong skills in book arts and/or fine press printing, with emphasis on concept, design, and craft. Candidate must have prior letterpress, book editioning, and/or
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to groom the next generation of leaders, thinkers, and innovators to thrive in the digital age. Located in the heart of Asia, NTU’s College of Computing and Data Science is an ‘exciting place to learn and
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or human-computer interactions studies. The focus of the PhD-thesis needs to contain knowledge areas such as learning theory, cognitive theories with applications on studies of learning, design of learning
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; data analysis; modeling; statistics and machine learning; scientific simulation; or theoretical astrophysics. COMPENSATION AND BENEFITS The full-time annual compensation for this position is $95,000. In
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to evolutionary time scales. One of the goals of the SCINet Initiative is to develop and apply new technologies, including AI and machine learning (ML), to help solve complex agricultural problems that also depend
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, data processing pipelines, machine learning and generative AI applied to physical activity and sleep research. The position will contribute to the development of an AI-based behaviour change tool and
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science, artificial intelligence, machine learning, computational social science, data science, or a related computational discipline. Applicants must have experience with digital trace/multimedia datasets and in
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. Strong experience integrating EEG with non-invasive electrical brain stimulation, particularly tRNS. Strong experience investigating individual differences in learning and cognition Experience applying
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collaborative and interdisciplinary activities. Job Requirements: Preferably PhD degree in Computer Engineering, Computer Science, Applied Mathematics or equivalent. Strong academic background in machine learning