732 structural-engineering-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Dip" uni jobs at Northeastern University in United States
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leadership and support strategic decision-making Recommend, develop, and implement processes, procedures, and budget structures to support effective and efficient financial operations Provide pre- and post
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transition from legacy data structures to a modern, scalable, AI‑ready data architecture. This role conducts deep assessments of existing systems—including Banner, Workday, Salesforce, ServiceNow, Snowflake
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scorecards. Serve as a trusted advisor to assist internal business clients with supplier discovery and performance, including supplier issues and/or transitions. Technology Promote use of e-Procurement tools
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Computer Science, Engineering, Applied Mathematics, Statistics, or a closely related field, with a focus on Deep Learning or Generative AI. Minimum of 5 years of industry experience in designing, developing, and
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, vision, dental, paid time off, tuition assistance, wellness & life, retirement- as well as commuting & transportation. Visit https://hr.northeastern.edu/benefits/ for more information. All qualified
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collaborative initiatives across all scientific fields, engineering, and the humanities. Candidate will teach Undergraduate or Graduate courses, prepare syllabi, lectures, course materials, give all examinations
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, architectural history, technology, or project case studies; as well as other undergraduate and graduate courses depending on expertise, enrollment, funding, and departmental needs. Qualifications: Master of
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assistance, wellness & life, retirement- as well as commuting & transportation. Visit https://hr.northeastern.edu/benefits/ for more information. All qualified applicants are encouraged to apply and will
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& Experience Master's degree in Analytics, Data Science, Economics, Engineering, Finance, Business Administration, Institutional Research, or related field required; Doctorate preferred Minimum 10 years
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specific to any particular professional domains or disciplines (e.g., business, marketing, and engineering). The degree is deeply rooted in experiential learning that is closely linked to professional