636 computer-programmer-"https:"-"CNR" "https:" "https:" "https:" "https:" "https:" "Dr" "P" uni jobs at Northeastern University
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, policies, and Federal agency requirements that affect invention reporting, and identify areas for process improvement and work with CRI colleagues and other stakeholders to implement a work plan to
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of the Kostas Research Institute and CEO of the KRI, LLC. Working closely with the Institute's Executive Leadership and the Program Management Office, the Director of Finance will support Kostas
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. Qualifications A PhDin Information Security, Cybersecurity, Computer Science, or a closely related discipline is preferred. Candidates should have relevant industry experience in cybersecurity, ideally in roles
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research that meets global and societal needs. Our broad mix of experience-based education programs?our signature cooperative education program, as well as student research, service learning, and global
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The university supports staff maintaining a good work/life balance, offer flexible working and parental leave opportunities, an Employee Assistance Programme which provides free, confidential advice on both home
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. Excellent analytical, strategic planning, and decision-making skills. Strong project and program management experience. Strong collaboration, communication, leadership, and strong stakeholder management
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posting and regulatory compliance. Manage diverse payment sources by accurately identifying and supporting transactions from students, families, scholarship organizations, 529 plan providers, external
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retirement plan options with generous matching, as well as tuition waiver for classes and degree programs. A full description of benefits can be found on the NU website . The KRI Sr R&D Engineer/Scientist
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settings. This role involves close collaboration with PIs, the Associate Director, postdocs, graduate students, undergraduate students, programmers, designers, community partners, and national/international
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teaching interests that would further strengthen an application include machine learning, computational economics, or data-intensive methods, particularly where these areas complement macroeconomic analysis