728 computer-science-quantum "https:" "https:" "https:" "https:" "https:" "U.S" "U.S" "U.S" positions at Northeastern University
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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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learning” program and help create AI for impact. To learn more about the AI for Impact program and current projects please visit our website: https://burnes.northeastern.edu/ai-for-impact-coop/ . Role
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. We are looking for a qualified candidate to teach on-campus graduate-level courses for the Master of Science in Regulatory Affairs of Drugs, Biologics, and Medical Devices and/or graduate certificate
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of Applied Logistics Execution, Warehouse Management, Freight Management, ERP Systems for Inventory Management, Supplier Management, Advanced Technology in Logistics & Distribution, and/or other courses
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& 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 receive consideration
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Number: 6821408 Part-Time Lecturer - History About the Opportunity The College of Social Sciences and Humanities and its nine tenure units are the home of the Experiential Liberal Arts. Through its
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term research program to decipher what factors result in good or poor immune health, transforming and accelerate personalised diagnosis and treatment for people suffering from immune diseases and
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and Academic Lead position in the Bachelor of Science in Project Management. The position is based at our campus in Boston, MA. The Bachelor of Science in Project Management program is a GAC® (Global
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-world problems in the fields of Biology, Health, and Engineering. An effective research program will execute use-inspired discovery with an entrepreneurial mindset that develops science and solutions
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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