169 machine-learning "https:" "https:" "https:" "https:" "https:" positions at Northeastern University
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with investigators from the Center for Drug Discovery, the Institute for Experiential AI, the Khoury College of Computer Sciences, the College of Social Sciences and the Humanities, the College of Arts
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combinations of theoretical physics, mathematics, and machine learning. While machine experience is not a strict requirement for the job, we anticipate that the strongest candidates will have clear research
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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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recognized leader in experience-driven lifelong learning. Our world-renowned experiential approach empowers our students, faculty, alumni, and partners to create impact far beyond the confines of discipline
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of EAI. Minimum Qualifications: An MS in computer science with a heavy focus on machine learning and LLM-RAG construction and development by the appointment start date. About 1 year of research or work
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: Bioengineering, Chemical Engineering, Civil & Environmental Engineering, Electrical & Computer Engineering, and Mechanical & Industrial Engineering. The Bioengineering (https://bioe.northeastern.edu/ ) Department
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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 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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experience focused on safety and security, meaningful connections and a sense of belonging, high student satisfaction, inclusive communities, assessment of learning experiences, and innovation. The Director is
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external) service focus Strong computer and IT skills, especially in MS Office suite products, and ability to learn new programs/systems Preferred Qualifications: Familiarity with research environment and