709 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" positions at Northeastern University
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looking for part-time faculty to teach courses across the program with special emphasis on applied artificial intelligence, machine learning, natural language processing, computer vision, and experiential
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/Planning Internal Number: 7075289 Part Time Lecturer - Architecture About the Opportunity The Lecturer will teach introductory courses in architectural drawing, sketching, studio design, computer modeling
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Learning Coordinator supports students on study away programs at the Seattle campus by serving as one of the main points of contact for students, thinking through a broad array of services required
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college, please https://www.khoury.northeastern.edu/ Responsibilities: Teach computer and information science courses for the undergraduate and graduate programs for the Khoury College of Computer Sciences
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undergraduate or graduate courses at the Boston Main Campus. Responsibilities: Teach selected Bioengineering courses in the day and evening programs depending on the specific needs of the department
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to teach courses on Public Speaking, Business and Professional Speaking, Visual Communication, Communication Ethics, Media History, and select other courses related to Communication Studies and Media and
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dates are in the fall, spring, and summer semesters. Part-Time Lecturer will teach undergraduate or graduate courses in Physics, participate in departmental meetings, administer exams to students, and
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Number: 7074898 Part Time Lecturer - School of Business About the Opportunity Responsibilities: Part-time lecturers will teach selected courses in the following fields for both day undergraduate and
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, vision, dental, paid time off, tuition assistance, wellness & life, retirement- as well as commuting & transportation. Visit https://hr.northeastern.edu/benefits/ for more information. All qualified
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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