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Management to further develop and maintain the Research Artificial Intelligence unit within the College of Medicine Office of Research. This position will lead complex projects and initiatives that promote
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(or equivalent experience) in computer science, electrical engineering, civil engineering, mechanical engineering, data science, artificial intelligence, or a related field • Strong Python programming skills • 0-2
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computer science, electrical engineering, civil engineering, mechanical engineering, data science, artificial intelligence, or a related field • Strong Python programming skills • 0-2 years practical software
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crucial research in the advancements of imaging and machine learning. This position will also conduct translational research, which will seek to apply computer vision and artificial intelligence
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NIST only participates in the February and August reviews. Firefighter fatalities and injuries in the U.S. remain too high and firefighting is too hazardous. Until now, firefighters do not have any tools except relying on their experience to avoid life-threatening fire events, such as flashover....
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applicants with experience in applied artificial intelligence, machine learning (supervised, unsupervised, and deep learning), generative and agentic AI, and other closely related subjects. The Information
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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
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, United States of America [map ] Subject Areas: Statistics, with a focus on artificial intelligence and statistical machine learning Starting Date: 2026/08/25 Appl Deadline: 2025/10/01 11:59PM (posted 2025/08/01, updated
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that underpins the scientific research of the collaboration. Research Title: Artificial intelligence research and evaluation programs. The work will entail: Supporting the NIST artificial intelligence research and
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units in neural networks, which drive both artificial and natural intelligence. Current projects span a wide range of topics in deep learning theory and theoretical neuroscience. For more information and