437 learning-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "https:" "https:" "https:" positions at Northeastern University
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learning. Experience with Salesforce, Simplicity, or similar CRM/advising platforms. Experience with SharePoint, Canvas, or similar content management or educational instruction tools. Experience developing
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career specialist for students pursuing full-time roles in software engineering, data science, artificial intelligence, machine learning, cybersecurity, IT, and adjacent fields including media, arts
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autonomous, closed-loop (“self-driving”) laboratory workflows. The role integrates catalyst synthesis, high-throughput reactor testing, and in situ/operando characterization with machine-learning and agentic
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, vision, dental, paid time off, tuition assistance, wellness & life, retirement- as well as commuting & transportation. Visit https://hr.northeastern.edu/benefits/ for more information. All qualified
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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 Non-Degree Learning on the Portland
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About the Opportunity Part-time Instructor positions available as determined by department’s curricular and institutional needs to teach in undergraduate and graduate courses in the Department
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About the Opportunity About the Opportunity: Northeastern University is a global leader in cooperative education and experiential learning in which students alternate between academic study and work
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current Learning Support: Maintains attendance records for multiple learning programs Organizes nominee lists and sends invitations to learning programs as requested Sends participant surveys, compiles
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-year residential students. This position serves as a vital member of the Residential Life team, creating positive and valuable experiential learning opportunities that aid students in their academic
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quantum chemical methods and machine learning; developing quantum algorithms for computational chemistry on quantum computers; and applying existing and new computational methods to study multiscale