656 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" uni jobs at Northeastern University in United States
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About the Opportunity Job Description Summary: Individuals are sought to teach 1) graduate courses in science and technology relevant to the biotechnology field specifically to biopharmaceuticals
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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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employees. This includes medical, vision, dental, paid time off, tuition assistance, wellness & life, retirement- as well as commuting & transportation. Visit https://hr.northeastern.edu/benefits/ for more
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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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, retirement- as well as commuting & transportation. Visit https://hr.northeastern.edu/benefits/ for more information. All qualified applicants are encouraged to apply and will receive consideration
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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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opportunity to teach in the area of pharmaceutical industry, and translate their experience for students into the classroom. Additionally the position will work within the pharmaceutical industry fellowship
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to teach in-person undergraduate courses on the Oakland Campus in one or more of the following fields: International Relations, Comparative Politics, American Politics, Political Theory, or Public Policy
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About the Opportunity School of Nursing Part-time Lecturer positions are available to teach online and at clinical sites for our Charlotte, North Carolina campus in the following areas: Adult
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technical contributions as an embedded software engineer for a wide range of projects requiring computing systems design and realization, including machine learning (ML) and artificial intelligence (AI