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-graduate courses in Artificial Intelligence, Machine Learning, and related topics, with an emphasis on curriculum development, students’ success, and mentoring teaching assistants ● Providing faculty
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conditions, and brain tissue microstructure and functioning. The successful candidate will be working within a multi-disciplinary team of MRI physicists, computer scientists, radiologists, neuroscientists, and
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manufacturing techniques, including composite materials manufacturing, biomechanics and biomedical engineering sciences, physics-based machine learning and artificial intelligence modeling and controls, energy
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, physics-based machine learning and artificial intelligence modeling and controls, energy storage and electrification, renewable energy, robotics, turbulence and multiphase fluid mechanics, etc
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delivering professional development activities and content to undergraduate, PhD, and postdoctoral trainees. The D-EWD reports to the Center Director, Deputy Director, Associate Director of Workforce
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, and service. The successful candidates will perform research in marketing analytics which may include data-driven marketing, economics, statistics, and machine learning. Teaching responsibilities will
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Interaction and Design (MHCI+D); and, through the Global Innovation Exchange (GIX), a Master of Science in Technology Innovation (MSTI). HCDE faculty members may teach in one or more of these programs. All
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technology, data processing and analysis, Machine Learning, database development, robotics, and data visualization. 1) Cover letter addressing qualifications 2) Curriculum vitae 3) Statement
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specialists and clinical trial coordinators. Through your application, we look forward to learning how your clinical interests, research and scholarship plans, interests in teaching and mentoring, and
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or experience in nontraditional research publication methods and collaborative notetaking software (e.g., Roam Research, Obsidian, Notion). ? Familiarity with cloud computing and machine learning techniques