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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 21 hours ago
Science and AI Research Methodologist to provide support for UNC research programs that are implementing cutting-edge scientific methods using artificial intelligence (AI), large language models (LLMs), and
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qualifications for this position include: Either a master’s degree in a relevant technical discipline (for example, Computer Science, Artificial Intelligence, Computational Linguistics) or a master in
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verified by proof assistants. Our vision is to unlock the combined potential of humans and artificial intelligence (AI) for the rapid and reliable construction of digital systems, guided by rigorous
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applicants whose work also involves developing novel mathematical methods with applications to data science and artificial intelligence. The position serves as a pivotal connection between the Faculty
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for Artificial Intelligence. https://miai.univ-grenoble-alpes.fr/ Activities Develop and evaluate deep learning tools for MRI fingerprint data Write scientific articles Present results at international conferences
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Professors/Associate Professors/Assistant Professors, Department of Computer Science and Engineering
) an outstanding scholarly record demonstrating (potential for) teaching and research excellence. Applicants in the following areas are particularly welcome: Computer Science Algorithms Artificial intelligence and
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for this project please click on the following link - https://www.exeter.ac.uk/study/funding/award/?id=5732
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groups to develop AI/ML solutions using established artificial intelligence libraries. Qualifications Bachelor's degree in a quantitative discipline such as computer science, engineering, or bioinformatics
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), capable of operating in GPS-denied or communication-compromised environments. By leveraging AIoT (Artificial Intelligence of Things) and TinyML (Tiny Machine Learning), the system processes data from IMU
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), capable of operating in GPS-denied or communication-compromised environments. By leveraging AIoT (Artificial Intelligence of Things) and TinyML (Tiny Machine Learning), the system processes data from IMU