748 machine-learning "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" positions at Northeastern University in United States
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About the Opportunity Responsibilities: Adjunct Faculty will teach selected courses in the following fields for both day undergraduate and evening MBA courses: Accounting, Entrepreneurship, Finance
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About the Opportunity Summary/Responsibilities The Communication Studies Department at Northeastern University seeks part-time faculty to teach courses on Public Speaking, Business and Professional
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About the Opportunity About Northeastern: Founded in 1898, Northeastern is a global research university and the recognized leader in experience-driven lifelong learning. Our world-renowned
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of responsibilities. The first set of responsibilities is to teach undergraduate courses offered by the Psychology Department. Particularly, we are seeking individuals who can teach a breadth of undergraduate courses
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About the Opportunity Northeastern University’s College of Professional Studies invites applicants for a part-time faculty position to teach in the Master of Professional Studies Analytics, located
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believe software is a systems engineering challenge rather than a coding problem. See website for details of programs: http://www.coe.neu.edu/graduate-school/multidisciplinary Responsibilities: Teach
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involving combinations of theoretical physics, mathematics, and machine learning. While machine experience is not a strict requirement for the job, we anticipate that the strongest candidates will have clear
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science to understand, predict, and explain crime and contribute to the development of public policy within urban communities. Using an active learning approach, the School seeks to develop its students
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science to understand, predict, and explain crime and contribute to the development of public policy within urban communities. Using an active learning approach, the School seeks to develop its students
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or industry equivalent work at a computing facility, or using/managing HPC resources Experience working with large scale machine learning models Experience with performance optimization, debugging, and