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of English and the Center for Equitable Artificial Intelligence and Machine Learning ? Contribute to the first-year composition program ? Teach advanced composition ? Provide services to the department
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applications for the position of Part-time teaching faculty. This is a joint position in the Khoury College of Computer Sciences and the Bouve College of Health Sciences. Responsibilities: Teach and develop
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remain poorly understood. Their structural heterogeneity and chemical complexity make accurate atomistic modeling particularly challenging. Recent advances in machine learning approaches provide a powerful
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resources. Teaches, monitors and advises students while they practice within the machining lab. Performs student learning outcome assessments to make continuous improvements in learning outcomes. Actively
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existing courses, please see the Khoury College Graduate Catalog at: https://catalog.northeastern.edu/graduate/computer-information-science/computer-science/ Qualifications: We are seeking individuals
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Full-Time Negotiating Unit UUP FLSA Exempt Department Website https://deanofstudents.buffalostate.edu/veterans-and-military-services Brief Job Description The Coordinator for Military and Veterans
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degree and or its equivalent. 2-4 years of related experience. Extensive experience using Macs and Windows machines. Knowledge of educational technology, research in the learning sciences, and data
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
/2026 Open Until Filled No Position Type Permanent Staff (EHRA NF) Working Title Director of Military Relations Appointment Type EHRA Non-Faculty Position Number 20074825 Vacancy ID NF0009660 Full Time
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 11 days ago
from This Employer https://main.hercjobs.org/jobs/22174268/coordinator-for-military-student-experience Return to Search Results
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related field. 0-2 years of industry, research, or applied project experience in data science or machine learning. Experience gained through internships, co-ops, academic research, or applied capstone