634 machine-learning "https:" "https:" "https:" "https:" "https:" "The University of Edinburgh" uni jobs at Northeastern University
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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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, the D’Amore-McKim School of Business at Northeastern University has continuously strengthened its foundation of experiential learning and innovation. Today, our mission to enable students to be responsible
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well as commuting & transportation. Visit https://hr.northeastern.edu/benefits/ for more information. All qualified applicants are encouraged to apply and will receive consideration for employment without regard
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or graduate courses at the Boston Main Campus. Responsibilities: Teach selected Bioengineering courses in the day and evening programs depending on the specific needs of the department. Responsibilities include
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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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package for benefit eligible employees. This includes medical, vision, dental, paid time off, tuition assistance, wellness & life, retirement- as well as commuting & transportation. Visit https
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About the Opportunity Northeastern University’s College of Professional Studies invites applicants for a part-time faculty position to teach in the Master or Professional Studies Applied Machine
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, the college collaborates across the university, the Northeastern network, and partners around the globe. Responsibilities: Teach European, World, or American history survey courses. Teach upper level
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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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teaching interests that would further strengthen an application include machine learning, computational economics, or data-intensive methods, particularly where these areas complement macroeconomic analysis