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world. We lead and have ties to multidisciplinary centers in wireless technology, cybersecurity, urban informatics, data sciences, artificial intelligence, renewable energy, and health, among others. Our
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detection of comorbidity and multimorbidity patterns, https://aristoteles-horizon.eu / ) developing novel artificial intelligence (AI) powered tools to assess and manage multimorbidity in patients with atrial
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Institute. Using recent progress in machine learning and artificial intelligence, the successful candidate will have primary responsibility to develop, implement, and test multimodal machine learning
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emphasis on severe childhood asthma, integrating clinical, biological, and imaging data through quantitative analysis and artificial intelligence. Research activities include medical image processing
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worthiness of autonomous vehicles cyber risk management, advanced threat intelligence secure-by-design for IoT and policy governance of cybersecurity For more details, please view https://www.ntu.edu.sg/cysren
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of programming, maybe even machine learning and artificial intelligence Prior knowledge of machine learning is not required, but considered an asset You have an independent and responsible way of working
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Home students for fully-funded PhD studentships to carry out multidisciplinary research in the world-transforming field of Artificial Intelligence, commencing 1st October 2026. The studentships will
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generation, tools/chains, and LLM agents Teaching experience Job Description: Artificial Intelligence in Biomedical and Health Sciences University of Florida’s College of Medicine is launching a new Master’s
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for part-time faculty teaching courses across the program with special emphasis on applied machine learning, artificial intelligence, and experiential network addressing the business challenges in
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University of California, Los Angeles | Los Angeles, California | United States | about 20 hours ago
develop and implement a program of research and clinical innovation focused on mobile cognitive screening technologies and artificial intelligence (AI)–driven tools to enhance psychiatric assessment