163 machine-learning "https:" "https:" "https:" "https:" "https:" positions at Northeastern University
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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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prior administrative experience in nursing education or health care agency. Must demonstrate advanced computer skills, particularly with Microsoft Word, Excel, and Access. Up to 2 years of experience and
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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 07-Jan-26 Location: Boston, Massachusetts Type: Full-time Categories: Academic/Faculty Computer/Information Sciences
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factors. Though not required, we are particularly interested in applicants who use advanced quantitative methods, including computational modeling, machine learning, and/or analyzing structural and
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follow through on tasks independently. Computer skills are essential along with an aptitude to learn new tools the ability to navigate the University financial systems to input data and create reports is a
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computer systems Disseminate mass emergency notification alerts when necessary Monitor radio traffic, security alarms, fire alarms, and video security cameras Provide referral services and victim resources
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the supervision of the PI, including proposal development and preparation of high-quality publications in top computer security, privacy, embedded systems, sensing, and networking venues. Pursue research topics
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Preferred Qualifications Postdoctoral or industry equivalent work at a computing facility, or using/managing HPC resources Experience working with large scale machine learning models Experience with
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possible for this position. Accordingly, secondary appointments in the Khoury College of Computer Sciences or the College of Science are possible, depending on research and/or teaching focus. Faculty
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collaborate with academic and industry partners 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