630 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" uni jobs at Northeastern University in United States
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for a full-time, non-tenure track teaching faculty position with an anticipated start date of September 2026. The faculty member will teach courses that serve both our BS and MS degrees in Environmental
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About the Opportunity The School of Nursing, Fall River campus, is seeking part-time faculty to teach theoretical courses including didactic and/or skills laboratory courses in the following areas
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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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models. The role also requires significant experience in classical machine learning methods such as decision trees, gradient boosting machines, and both shallow and deep learning networks. A demonstrated
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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 28-Dec-25 Location: Boston, Massachusetts Type: Full-time Categories: Academic/Faculty Computer/Information Sciences
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harnessing emerging technologies to advance human potential and solve the challenges of the future. Powered by experience-driven teaching, learning and research, CAMD believes that the fields of design
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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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conducive to the social, personal, and academic success of first-year students during the program. On-site staff members focus on creating positive and valuable experiential learning opportunities for NYC
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research, teaching, and engagement missions, the college collaborates across the university, the Northeastern network, and partners around the globe. Responsibilities: Teach European, World, or American
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About the Opportunity The College of Science at Northeastern University is looking for part-time lecturers to teach a graduate course, called EESC-6500 Pathways to Professional Success , for Fall