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software engineering, data science, artificial intelligence, machine learning, cybersecurity, IT, and adjacent fields including media, arts, architecture and gaming. As a core member of the Career Education
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with special emphasis on applied artificial intelligence, machine learning, natural language processing, computer vision, and experiential learning addressing business and technical challenges in
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computer applications (e.g., word processing, email, spreadsheets, databases) Knowledge of legislative, regulatory, legal, and practice issues affecting clinical education, students, and the physician
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currently has 38 tenure track faculty and 8 full-time teaching faculty. We are seeking teaching faculty to teach in a broad range of Bioengineering topics with emphasis on one or more of the following
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–2 years of industry, research, or applied project experience in data science or machine learning. Experience gained through internships, co-ops, academic research, or applied capstone projects is
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analytics (with expertise in data exploration and data engineering), probability and statistics, machine learning, data visualization, database management systems, data mining, predictive analytics, and
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, and industry workforce trends, with a particular emphasis on next-generation and AI-integrated curriculum design Familiarity with the application of AI tools — including machine learning, simulation
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About the Opportunity Responsibilities: Teach selected master level courses of the Master of Science in Electrical and Computer Engineering (ECE) program of the ECE department at the Northeastern
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with special emphasis on applied artificial intelligence, machine learning, natural language processing, computer vision, and experiential learning addressing business and technical challenges in
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modeling, machine learning, optimization, data analysis, mathematical modeling, AI-related applications, financial modeling, healthcare analytics, operations research, or other applied areas depending