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informes técnicos. _______________________ Demonstrable proficiency in Python programming, ontologies, machine learning, and artificial intelligence. The candidate’s public software repositories must be
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Lexington, KY Grade Level 46 Salary Range $53,061-87,526/year Type of Position Staff Position Time Status Full-Time Required Education MA Click here for more information about equivalencies: https
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 16 hours ago
learning. Primary Purpose of Organizational Unit Learning how people can eat uniquely! The UNC Nutrition Research Institute (NRI) is an internationally recognized center conducting innovative basic and
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, engineering computation, operational research, management science and applied statistics, FinTech, data science and machine learning. There are currently 56 academic staff and about 154 research personnel in
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at a higher education institution. Specific Requirements Experience in programming Matlab, C++; knowledge of machine learning. LanguagesPOLISHLevelExcellent Additional Information Selection process
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, computational, and/or machine learning methodologies to address them. The search is broad and welcomes research spanning modern statistical methods, machine learning, AI, and emerging approaches to data science
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and retirement programs. To learn more about USC benefits, access the "Working at USC" section on the Applicant Portal at https://uscjobs.sc.edu. Position Description Advertised Job Summary Temporary
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watermarks. Publishing research in leading journals and conferences in speech, audio, and machine learning, and contributing to open-source releases of software, trained models, and reproducible research
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analytically and the organizational skills to move from vision to action Proficient with computer applications and programs associated with the position (i.e., Microsoft Office suite) Strong attention to detail
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studying how wireless sensing and AI interact in real systems. The work will be carried out in close collaboration with researchers in wireless communications, sensing, machine learning, and robotics, with