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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 6 days ago
machine learning applied to natural language processing, computer vision, or a related area. Strong publication record in NLP, ML, or related areas -Strong programming skills, including TensorFlow and/or
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proposals and reports. Minimum Qualification Ph.D. from an accredited institution in Computer Science, Electrical and Computer Engineering, or a related field with a focus on AI, NLP (natural language
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of microorganisms, the development of fermentation processes and the engineering of microorganisms to process food, produce food ingredients, food additives or food processing aids. Aparticular focus is put
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undergraduate and graduate degrees. Our fundamental interest is in the nature of language, how language is used, and how this use impacts language learning, processing, and structure over historical and
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Job Code 9546 Employee Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job The Environmental Chemistry Laboratory at the Natural Resources Research Institute (NRRI) is seeking
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the internal application process. Welcome to The Ohio State University's career site. We invite you to apply to positions of interest. In order to ensure your application is complete, you must complete
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with enhanced reactivity for medical and/or environmental applications. Such mini-catalysts are inspired on natural metalloproteins in which their reactivity is expanded by the concerted chemistry of
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susceptibility to online and offline experiences and exposures; c) applications of computational social science methods in developmental research (e.g., use of large language models (LLMs) and other advanced
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of natural language processing, machine learning, artificial intelligence, and human-computer interaction. Established within the School of Computer Science, LTI pioneers innovative approaches to understanding
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protocols to generate diverse cardiovascular cell types from iPSCs, enabling advanced cardiovascular disease modeling and cell therapy applications (Nature Cardiovascular Research 2023; Circulation 2023