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. The department is actively expanding its proficiency in the field of health data science, with emphasis on areas including machine learning, artificial intelligence, clinical trials, precision health, mobile
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, data science, computer science, and computer engineering, including artificial intelligence (AI), machine learning, internet of things (IoT), chip design, cybersecurity, human-computer interaction
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applicants will collaborate: 1.1. Name of the project: “Neuromorphic Artificial Intelligence Processor for Artificial Vision in aerospace applications (NeuroAI4Space)”. 1.2. Reference: INNEST/2025/214. 1.3
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-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular processes to human
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students with the knowledge and hands on experience needed to address real world challenges in areas such as artificial intelligence, robotics, cybersecurity, big data, and sustainable technologies
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Associates and PhD students. We are particularly interested in candidates who bring expertise at the intersection of artificial intelligence, machine learning, and criminology. The successful candidate will
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the Illinois Value Proposition ensures that your contributions are recognized, your potential is nurtured, and your career can thrive. Champaign-Urbana Artificial Intelligence (AI) tools may be used in some
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the intersection of explainable artificial intelligence (XAI) and causal inference. Our goal is to develop AI systems that are causally understandable, such that predictions can be interpreted in terms of underlying
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://uscjobs.sc.edu/titles/133277 Job Level P4 - Professional Business Title (Internal Title) Artificial Intelligence (AI) Developer Campus Upstate Work County Spartanburg College/Division USC Upstate College/Division
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Doctoral student in development of nanowire devices for photonic neuromorphic computing (PA2026/472)
) is the Centre for Nanoscience at Lund University. NanoLund is today Sweden’s largest research environment for nanoscience, engaging more than 400 PhD students and scientists in the Faculties