816 machine-learning "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" positions at Northeastern University
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About the Opportunity Job Description About Northeastern: Founded in 1898, Northeastern is a global research university and the recognized leader in experience-driven lifelong learning. Our world
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/Planning Internal Number: 6832149 Part Time Lecturer - Architecture About the Opportunity The Lecturer will teach introductory courses in architectural drawing, sketching, studio design, computer modeling
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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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for the designated program, using a reflective, inquiry approach to analyze and improve instruction. The successful candidate will support the development of child and adult learning by engaging in teacher led inquiry
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About the Opportunity The Lecturer will teach introductory courses in architectural drawing, sketching, studio design, computer modeling, architectural history, technology, or project case studies
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About the Opportunity Individuals are sought to teach graduate courses in science and technology relevant to the bioinformatics field. Courses include primarily biological science courses with minor
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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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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 13-Feb-26 Location: Boston, Massachusetts Type: Full-time Categories: Academic/Faculty Computer/Information Sciences
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lecturer. The successful candidate will teach on-campus and online management courses in the undergraduate program, particularly sections of the introduction to Supply Chain Management course. This position
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teaching interests that would further strengthen an application include machine learning, computational economics, or data-intensive methods, particularly where these areas complement macroeconomic analysis