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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 The University of South
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video and/or television Skills Needed: Strong oral and written communication skills Mathematical calculation skills necessary Computer skills/familiarity with word processor and spreadsheets Ability
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month 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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of Machine Learning, Computer Vision, Large Language Models and related technologies. Relevant publications – articles in peer-reviewed scientific journals indexed in WOS with an impact factor. Excellent
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, and in-depth data analysis? We're looking for a fast-learning individual with strong transferable research skills to join our Digital Machining team as a Project Engineer In this role, you'll be
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in a university or college setting. Working knowledge of the content areas of probability, statistical methods, generalized linear models, statistical computing, and machine learning. Preferred
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-15100 Job Description Join our growing online Computer-Aided Drafting (CAD) and Mechanical Design program and help shape the next generation of design professionals. We're looking for two experienced
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, independent judgment, organization, communication (verbal and written), time management, project management and presentation skills Proficient with computer applications and programs associated with
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other duties as assigned by Laboratory Animal Resources (LAR) management, including veterinarians. This position needs to possess basic computer skills, be able to follow written and verbal instructions
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, including machine learning, computer vision, adaptive data modelling, and computational imaging. The objective is to develop state-of-the-art machine learning algorithms for solving ill-posed inverse problems