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translation of energy efficient data storage to commercial success. The advent of artificial intelligence and the proliferation of cloud-based technologies call for denser, faster and more energy efficient data
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and optimization, we use tools such as artificial intelligence/machine learning, graph theory and graph-signal processing, and convex/non-convex optimization. Furthermore, our activities
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career can thrive. Champaign-Urbana Artificial Intelligence (AI) tools may be used in some portions of the candidate review process for this position; however, all employment decisions will be made by a
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Missouri University of Science and Technology | Rolla, Missouri | United States | about 11 hours ago
of public affairs journalism and share that knowledge with a broader public. • Develop strategies and practices around ethical and responsible use of artificial intelligence (AI) in public affairs journalism
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IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava | Czech | 22 days ago
research, development, and innovation centre active in the fields of High-Performance Computing (HPC), Data Analytics (HPDA), Artificial Intelligence (AI), and Quantum Computing (QC) and their applications
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for a candidate who: Holds an MSc degree in artificial intelligence, natural language processing, computer science, biostatistics, data science, (clinical) epidemiology, biomedical sciences, or a related
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of applications will begin on April 10, 2026. The position will remain open until filled. Please note that the CSU does not use automated decision systems or artificial intelligence tools in making hiring
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models have driven significant advances in Artificial Intelligence. Polymathic AI seeks to leverage these ideas to develop the next generation of AI-powered scientific analysis tools, seeking more powerful
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subgroups of patients. • Drug repurpusing through artificial intelligence techniques based on the aforementioned data. Where to apply Website https://sede.udc.gal/services/electronic_board/EXP2026/003883
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are particularly interested in candidates with extensive finance industry experience and a background in quantitative finance, statistics, data science, machine learning, or artificial intelligence. This is a Haas