630 professor-computer "https:" "https:" "https:" "https:" "https:" "Keele University" uni jobs at Northeastern University
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& transportation. Visit https://hr.northeastern.edu/benefits/ for more information. All qualified applicants are encouraged to apply and will receive consideration for employment without regard to race, religion
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computing systems design and realization, including machine learning (ML) and artificial intelligence (AI) applications including autonomy, sensing and communication, advanced manufacturing, and decision
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support our NASPAA-accredited Master of Public Administration program. Given our Arlington location, emphasis on federal agency leadership, congressional relations, and executive branch management
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with scalable program delivery, data-informed decision-making, and innovation in career education — including integrating emerging technologies and AI tools into the career development process (e.g
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programs Support staff training and provide ongoing coaching to SLAs Create staff schedules and delegate responsibilities to ensure seamless program operations Foster a collaborative, student-centered team
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member (tenured associate or full professor level) with a proven research and teaching track record focused on leadership. This might include, but is not limited to, scholars engaged in impactful research
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education as a graduate of an ARRT approved Radiology and/or MR training program. Must be ARRT certified and have successful completion of MR Registry exam. Furthermore, they also need to have a Massachusetts
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, the college collaborates across the university, the Northeastern network, and partners around the globe. Responsibilities: The Human Services Program in the College of Social Sciences and Humanities seeks
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time off, tuition assistance, wellness & life, retirement- as well as commuting & transportation. Visit https://hr.northeastern.edu/benefits/ for more information. All qualified applicants
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Qualifications Education: Bachelor's degree in Information Systems, Computer Science, Engineering, or a related field required Experience: 4–6+ years of experience building cloud-native data pipelines