694 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" "U.S" "U.S" positions at Northeastern University in United States
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part time faculty lecturer for the Fall 2025 semester. The successful candidate will teach on-campus graduate courses at the Northeastern University Oakland campus. Responsibilities: Part-time lecturers
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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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proposal development and preparation of high-quality publications in top computer security, privacy, embedded systems, sensing, and networking venues. ● Pursue research topics such as protecting
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emphasis on applied machine learning, artificial intelligence and experiential network addressing the business challenges in the industry. Instructional areas include, but are not limited to, analytics, with
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dates: fall, spring, summer semesters. Salary: Stipend rates per course. Teach undergraduate or graduate courses in Physics. Participates in departmental meetings, administers exams to students and holds
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& transportation. Visit https://hr.northeastern.edu/benefits/ for more information. All qualified applicants are encouraged to apply and will receive consideration for employment without regard to race, religion
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https://hr.northeastern.edu/benefits/ for more information. All qualified applicants are encouraged to apply and will receive consideration for employment without regard to race, religion, color
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Northeastern University invites applications for a non-tenure track part time faculty lecturer. The successful candidate will teach on-campus and online management courses in the undergraduate program
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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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/Associate/Full Teaching Professor (a non-Tenure-Track faculty position) in Miami with general areas of focus in Application Engineering & Development, Artificial Intelligence/Machine Learning platforms