766 engineering-computation "https:" "https:" "https:" "https:" "https:" "Ulster University" positions at Northeastern University
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responsibility of this position is teaching courses related to the Master of Science (MS) in Semiconductor Engineering Program with the materials and manufacturing concentration. The ideal candidate would be able
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pipelines that push technological boundaries for our clients. The Engineer will tackle complex challenges at the intersection of Large Language Models, Computer Vision, and Predictive Analytics while ensuring
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are reviewed regularly and are subject to change. To apply, visit https://northeastern.wd1.myworkdayjobs.com/en-US/careers/job/Boston-MA-Main-Campus/MSHI-NTT-Open-Rank-Faculty-and-Program-Leader_R138833
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About the Opportunity The Khoury College of Computer Sciences invites applications for the position of Part-time teaching faculty at our Seattle Campus. The Seattle campus launched in 2013 and is
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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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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 14-Jan-26 Location: Boston, Massachusetts Type: Full-time Categories: Academic/Faculty Computer/Information Sciences
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About the Opportunity The School of Law of Northeastern University seeks part-time lecturers to teach courses for the JD/FlexJD/LLM program in the areas of law to be determined by curricular and
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About the Opportunity Job Summary Under the direction of the Director of the Mills College Art Museum at Northeastern University, the Program Director is responsible for developing and managing
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About the Opportunity The College of Professional Studies at Northeastern University invites applications for a non-tenure track part time faculty lecturer in Engineering & Manufacturing
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models (LLMs), including prompt engineering, context management, and implementation strategies for enterprise applications. Cloud Computing: Experience deploying and scaling AI systems in cloud