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Field
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University explores synergies between nonlinear control theory and physics informed machine learning to provide formal guarantees on performance, safety, and robustness of robotic and learning-enabled systems
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, modelling and simulation of photonic systems, sensor systems, signal processing and device manufacturing, development of machine learning algorithms, and design of optical communication networks or power
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the development and implementation of machine learning (ML), computer vision (CV), large language models (LLMs), and vision-language models (VLM) to automate data extraction and interpretation for productivity
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
to the arts and top athletic programs, Carolina is an ideal place to teach, work and learn. One of the best college towns and best places to live in the United States, Chapel Hill has diverse social, cultural
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facilities to doctoral researchers aiming for successful careers in science. Our comprehensive curriculum allows our students to tailor their learning to their interests, requiring them to earn 25 ECTS through
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University Princeton University is a vibrant community of scholarship and learning that stands in the nation's service and in the service of all nations. Chartered in 1746, Princeton is the fourth-oldest
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drug overdoses. The translation of cutting-edge data science methods and results into usable scientific, policy-related or clinical knowledge is a particular focus. Example learning problems include
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Manufacturing and Advanced Materials, Energy Storage and Transportation, Radiopharmaceutical Therapies, and Circular Bioeconomy Systems. To learn more about UT-ORII visit utorii.com . More About UTIA The UT
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to learn the following skills: 1. Ultrasound imaging 2. Transcranial doppler 3. Recording and analyzing physiological data including intracranial pressure using power lab, Moberg, ICM+, or similar software
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to learn the following skills: 1. Ultrasound imaging 2. Transcranial doppler 3. Recording and analyzing physiological data including intracranial pressure using power lab, Moberg, ICM+, or similar software