303 computer-science-intern "https:" "https:" "https:" positions at Northeastern University
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
locally, and then offered throughout the broader campus system, consistent with local needs and demand. The successful Align computer science master's program-which accelerates people with no prior
-
Administration, Master of Science in Urban Informatics, Master of Science in Applied Quantitative Methods for Social Analysis, and Master of Science in Criminology and Criminal Justice programs. Teaching will be
-
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, including Jaggaer
-
, Information Security/Assurance, Computer Science, or a related discipline plus professional work experience in IT Auditing, Compliance, and\or Information Security roles. Master’s degree is a plus. Demonstrated
-
letters of recommendation to: J. Andrew Orr-Skirvin, PharmD, BCOP Clinical Professor, Department of Pharmacy & Health Systems Sciences Pharmaceutical Industry Fellowship Program Director 360 Huntington Ave
-
, program management and/or international education, is required. Robust leadership experience required, with preference for experience supervising other managers. Effective oral and written communication
-
About the Opportunity About the Opportunity Northeastern University Pharmaceutical Industry Fellowships Program is a two-year experiential program designed to advance lifelong learning and the
-
revenue performance metrics for the university community, and ensures the accurate reporting of these data. MINIMUM QUALIFICATION Education & Experience Master's degree in Analytics, Data Science, Economics
-
to express oneself clearly and concisely, orally and in writing. Strong computer skills, typing skills, and ability to learn new software Team and goal oriented Ability to exercise discretion in handling
-
systems, offering concentrations in machine learning, robotics, computer vision, energy systems, and process engineering. This innovative program combines technical rigor with applied learning opportunities