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the global university network, including intake triage, assignment, and follow-through to case closure, including coordination and documentation of cross-functional matters. The position also leads aggregated
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the Northeastern University global network. They will provide individualized support to students, deliver career development workshops, and participate in the department's efforts to support career exploration, job
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career coaching, program management and support for students, employers and alumni, primarily on the Boston Campus, but throughout the Northeastern University global network. They will provide
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operations and track faculty engagement, community partnerships, student leader participation, and course information. Provide administrative oversight for and engagement with a network of 75+ faculty and 100
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consistent with their goals including grant writing / fundraising, teaching, mentoring, and networking with TNC and academic partners. Initial review of applications will begin on September 21, with
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at Northeastern University, reporting to the Assistant Director, Performance and Marketing. This role supports the execution of marketing initiatives across select campuses and network-wide priorities, with a focus
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growing global university system. Through this network, we expand opportunities for flexible, student-centered learning and collaborative, solutions-focused research. Northeastern’s comprehensive array
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, Performance and Marketing. This role supports the execution of marketing initiatives across select campuses and network-wide priorities, with a focus on email and event communications and content for digital
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of the campus strategic plan; supporting Global University System (GUS), Network, and other Strategic Initiatives and priorities; supporting the University academic plan Experience Unleashed; contributing to and
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, network science, optimization, or data-intensive systems focus. Experience supporting government, defense, or security-related R&D programs. Experience developing or integrating simulation-based models