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Field
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and spatiotemporal scales, i.e., new forms of real-time automation of intelligent active grids including grid-forming converters, using distributed control and artificial intelligence (AI) based
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Description The Clinical Artificial Intelligence Lab at NYU Abu Dhabi seeks to improve patient care by developing new machine learning methodologies that tackle unique computational problems in
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Missouri University of Science and Technology | Rolla, Missouri | United States | about 13 hours ago
genome-based influenza and/or SARS-CoV-2 risk assessment algorithms, designing broadly protective influenza and SARS-CoV-2 vaccines using Machine Learning and Artificial Intelligence, modeling the impacts
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for Artificial Intelligence. Strong demonstrated programming skills including Python or other similar languages. Ability to work independently, prioritize tasks, and deliver results in a timely manner. Assess and
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Computer Science, Artificial Intelligence, Cybersecurity, or related fields Expertise in AI and ML applications for cybersecurity and threat analysis Knowledge of supply chain security challenges and
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learning and artificial intelligence models focused on representing the structural response Physical experimental testing for structural and geotechnical applications Data acquisition and processing from
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on visual and perception and decision-making in complex environments, with a focus on medical image perception and Artificial Intelligence (AI). This position offers hands-on experience with behavioral, eye
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cutting-edge big/deep data analysis methods, including machine learning and artificial intelligence. The ideal candidate will therefore have a strong background in data science and in the application and
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Aging and Alzheimer's Disease A. La Spada: Mechanisms of Neurodegenerative Disease / Neurotherapeutics J. Lipkova: Artificial Intelligence in Medicine. https://octopath.org/ M. Rose: Neuronal Diversity
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understanding of artificial intelligence applications and methodologies, such as working knowledge of generative AI tools, use of large language models, machine learning, and ethical frameworks for AI