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, or public health data from pathogen surveillance efforts and biobanks. Project description DDLS Fellows program Data-driven life science (DDLS) uses data, computational methods, and artificial intelligence
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biobanks. Project description DDLS Fellows program Data-driven life science (DDLS) uses data, computational methods, and artificial intelligence to study biological systems and processes at all levels, from
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biobanks. Project description DDLS Fellows program Data-driven life science (DDLS) uses data, computational methods, and artificial intelligence to study biological systems and processes at all levels, from
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are required. Strong written and oral communication skills and ability to work both independently and collaboratively as part of a multidisciplinary research team are required. Knowledge of artificial
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activities in which the postdocs could participate, including a Data Intensive Social Science Center, a center for Biomedical Data Science, and the Schmidt Program on Artificial Intelligence, Emerging
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curriculum sequence A demonstrated commitment, knowledge, and skill in working with students to foster an environment of inclusion and belonging. Engagement with new technologies, such as artificial
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computer engineering, including artificial intelligence (AI), machine learning, internet of things (IoT), chip design, cybersecurity, human-computer interaction, social networks, fairness, and data ethics
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In Carnegie Mellon University's Department of Mechanical Engineering (MechE), faculty members, researchers, and students are revolutionizing focus areas in artificial intelligence (AI), engineering
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multidisciplinary research team are required 7. Knowledge of artificial intelligence (AI) models and development of AI tools with applications in disease detection/diagnosis and epidemiology is desirable 8
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Health Platform, advancing interdisciplinary research at the intersection of artificial intelligence, bioinformatics, and equity in Asian health research. Various projects may include: Contribute