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emphasis on applied machine learning, artificial intelligence and experiential network addressing the business challenges in the industry. Instructional areas include, but are not limited to, analytics, with
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interested in applicants who use advanced quantitative methods, including computational modeling, machine learning, and/or analyzing structural and functional neuroimaging data. Specific activities may include
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the following training will be considered PhD in computer science, machine learning, AI or related computational field, or, Ph.D. in a health-related discipline with experience in experimental science, devices
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: Bioengineering, Chemical Engineering, Civil & Environmental Engineering, Electrical & Computer Engineering, and Mechanical & Industrial Engineering. The Bioengineering (https://bioe.northeastern.edu/ ) Department
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About the Opportunity About Northeastern: Founded in 1898, Northeastern is a global research (R1) university and the recognized leader in experience-driven lifelong learning. Our world-renowned
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Lab researches on a variety of computer systems topics including HPC resilience, data center power management, large-scale job scheduling and performance tuning, parallel storage systems and scientific