172 machine-learning "https:" "https:" "https:" "https:" positions at Northeastern University
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invites applicants for a part-time faculty position to teach Applied Machine Intelligence courses offered within the Master of Professional Studies Analytics program, located on-ground in Seattle
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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 12-Dec-25 Location: Boston, Massachusetts Type: Full-time Categories: Academic/Faculty Computer/Information Sciences
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to participate in building machine learning models, co-author publications, and contribute to grant proposals. Tentative start date: January 2024 for the Spring 2024 semester with possibilities of renewal
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for a wide range of projects involving machine learning (ML) and artificial intelligence (AI), including autonomy, sensing and communication, and decision support systems, among others. The R&D Engineer
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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, degree, and campus
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, biomedicine, and other areas of societal importance. Coding and/or machine learning experiences are highly valued. Specific projects may involve developing multiscale simulation methods for quantum mechanical
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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 16-Dec-25 Location: Boston, Massachusetts Type: Full-time Categories: Academic/Faculty Computer/Information Sciences
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. Excellent communication skills with a customer (internal and external) service focus. Highly organized and detail oriented; and ability to problem solve effectively. Strong computer and IT knowledge and
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for research and departmental operations in the Department of Electrical and Computer Engineering. This position is responsible for managing the process, facilitating, and executing research and departmental
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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 03-Dec-25 Type: Part-time Categories: Academic/Faculty Computer/Information Sciences Internal Number: 6761892 Part