742 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "Université de Bordeaux " positions at Northeastern University
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oversight of clinical education across all graduate nursing programs. This role ensures high-quality clinical learning experiences, compliance with accreditation and regulatory standards, and strong
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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
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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 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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teaching interests that would further strengthen an application include machine learning, computational economics, or data-intensive methods, particularly where these areas complement macroeconomic analysis
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/Planning Internal Number: 6808728 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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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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, 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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at major gift levels ($100K-$1M), in addition to launching a systematic initiative to acquire new donors that meet institutional fundraising goals. The ADMG will work to uplift the philanthropic commitment
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health, and artificial intelligence; investigate AI applications for personalized music therapy and brain health interventions; and explore machine learning approaches to understanding musical cognition