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on accelerating high-impact advances in human performance by leveraging the rapidly advancing fields of bioengineering, neuroscience, artificial intelligence, genetics, molecular biology, imaging, and regenerative
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: : · Postdoctoral and/or industry experience. · Demonstrated success in or potential for collaborating on developing applications related to Artificial Intelligence / /Machine Learning. Preferred Qualifications
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, innovative bioengineering and 3D printing technologies, as well as data science and artificial intelligence. Translational alliances with the University’s Cardiovascular Research and Training Institute (CVRTI
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English-speaking program. 2. Demonstrated experience in cybersecurity, computer networks, or artificial intelligence. 3. Demonstrated research experience as demonstrated by publication records. 4
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for successful candidates to align research areas with campus-wide initiatives such as biomedical engineering, data science and artificial intelligence, immunology, inflammation and infectious diseases, diabetes
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open-ended About the POSITION This position focuses on developing and applying advanced computational approaches - including Artificial Intelligence, machine learning, and data science - to address
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Posting Details Position Information Position Title Empire Innovation Professor, Artificial Intelligence Department Department of Computer Science and Engineering Posting Number F240110 Posting Link
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 9 days ago
the ability to design and implement novel artificial intelligence algorithms. Examples of research directions could include: multimodal foundational models for biomedical data, deep-learning architectures
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specializing in artificial intelligence, cancer research, or chronic illness. These positions are on-site appointments. USC Nursing has three research centers: Cancer Survivorship Research Center; ACORN Center
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health, IoT, advanced machine learning/artificial intelligence, natural language processing, and public health modeling. However, we will also consider candidates with expertise in other emerging areas