728 computer-security "https:" "https:" "https:" "https:" "https:" "Dr" "Keele University" positions at Northeastern University
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About the Opportunity PROGRAM DESCRIPTION: Northeastern students admitted to New York City Scholars will begin their journey at Marymount Manhattan College (MMC) campus as a cohort of fellow first
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of 2-3 years, with yearly renewals based upon funding and performance. This position will be based in the Social Development and Wellbeing Lab led by Dr. Alexandra Rodman. The Lab and offices
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technical contributions as an embedded software engineer for a wide range of projects requiring computing systems design and realization, including machine learning (ML) and artificial intelligence (AI
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(NUBIC), which houses our Siemens Prisma 3T MRI. CBH harnesses neuroimaging, behavioral, and computational studies to understand how lifestyle choices and behaviors influence brain activity, structure
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professional to provide comprehensive on-ground support for all registrar functions at NU-NYC. This position will serve all NU-NYC students, Scholars program participants, and support broader campus and college
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: Applicant must have at a minimum a MS in Electrical and/or Computer Engineering or equivalent and (3) three years or more of experience with progressively more responsible, independent engineering work; or a
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. This includes medical, 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
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employees. This includes medical, vision, dental, paid time off, tuition assistance, wellness & life, retirement- as well as commuting & transportation. Visit https://hr.northeastern.edu/benefits/ for more
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functional supervision over graduate and undergraduate students. The appointment generally does not extend beyond two years. To learn more about the work in the group, checkout out the group website. https
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pipelines that push technological boundaries for our clients. The Engineer will tackle complex challenges at the intersection of Large Language Models, Computer Vision, and Predictive Analytics while ensuring