762 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Mines Paris PSL" positions at Northeastern University in United States
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About the Opportunity Teach selected undergraduate or graduate courses in the day and evening programs in the College of Engineering, Department of Coop. Course topics are in the areas Professional
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About the Opportunity Job Description Teach selected undergraduate or graduate courses in the Department of Civil and Environmental Engineering. Course topics might include any of a full spectrum of
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About the Opportunity The School of Law of Northeastern University seeks part-time lecturers to teach courses for the JD/FlexJD/LLM program as well as undergraduate courses in areas of law to be
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health, and artificial intelligence; investigate AI applications for personalized music therapy and brain health interventions; and explore machine learning approaches to understanding musical cognition
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contributions as a software engineer for a wide range of projects requiring computing systems design and realization, including machine learning (ML) and artificial intelligence (AI) applications including
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Engineering and Electrical and Computer Engineering, including but not limited to navigating the contract process and understanding the requirements for different payment types and requests for Chemical
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About the Opportunity Summary & Responsibilities: Teach graduate courses relating to cooperative education and career development. Courses designed to provide a forum for students to critically
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teaching interests that would further strengthen an application include machine learning, computational economics, or data-intensive methods, particularly where these areas complement macroeconomic analysis
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part-time lecturers for intersectional courses in WGSS. The Part-Time Lecturer will teach courses in Women’s, Gender, & Sexuality Studies. Positions are available throughout the year contingent upon
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to guidelines set by the Trefethen Aquatics Center. Teach swim lessons as needed. Assist in day-to-day operations (including, but not limited to, staff scheduling, submitting timesheets, light cleaning, and