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: PhD degree in Computer Science, Computer & Electronics Engineering or other related fields Strong background and knowledge in at least one or preferably more of the following fields: Cybersecurity, Deep
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Position Details Position Information Job Title Postdoctoral Scholar Position Number CHHS-KINE-PDS-09-26 Vacancy Open to All Candidates Department AAH CHHS Kinesiology Department Homepage https
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machine learning and AI methods to develop clinical decision support systems for high-flow nasal cannula therapy. The project: Concerns around the possible negative consequences of delayed escalation
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power production), regulatory authorities, national and international research partners. Teaching Teach and further develop courses at bachelor’s, master’s, and PhD level in areas of the position
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science, computation, and artificial intelligence / machine learning. A successful candidate will be expected to teach and advise students in our Master of Science-level curricula, develop a scholarly
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Engineering, Machine Learning, Applied Mathematics, or a related field. A strong academic background and interest in AI systems, embedded intelligence, edge computing, machine learning, or related areas. Strong
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. Ideal candidates will have demonstrably strong research skills, evidenced by multiple publications in top-tier machine learning or artificial intelligence conferences and/or leading scientific journals
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University of New South Wales | Canberra, Australian Capital Territory | Australia | about 13 hours ago
Discovery Grant. Situated within the School of Systems and Computing, the Research Associate will be part of research activity in multidisciplinary settings requiring skills in cryptography, machine learning
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are qualified to teach Anthropology classes. About UTRGV: UTRGV serves the Rio Grande Valley and beyond via an innovative and unique multicultural education dedicated to student access and success. By championing
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of generative AI tools, use of large language models, machine learning, and ethical frameworks for AI implementation. Ability to apply AI to interdisciplinary research or developing AI models