181 engineering-computation "https:" "https:" "https:" "https:" "Dana Farber Cancer Institute" positions at NEW YORK UNIVERSITY ABU DHABI
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2 Apr 2026 Job Information Organisation/Company NEW YORK UNIVERSITY ABU DHABI Research Field Computer science Engineering Researcher Profile Recognised Researcher (R2) Established Researcher (R3
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Description The Division of Engineering at New York University Abu Dhabi (NYUAD) invites applications for a Post-Doctoral Associate position under the supervision of Prof. Qurrat-Ul-Ain Nadeem in
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science, electrical/computer engineering, applied mathematics, computational biology, bioengineering, or a closely related discipline. Solid experience training and evaluating AI models. Proficiency in Python and ML
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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Description The Center for Smart Engineering Materials (CSEM), New York University Abu Dhabi, seeks
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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Description The Future-Generation of Resilient and Infrastructure Design Technology Hub (Future-GRID TecH
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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Description The Applied Interactive Multimedia laboratory in the Division of Engineering, New York
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research environment. Applicants must hold at least a Bachelor’s or Master’s degree in Computer Science, Robotics, Electrical Engineering, or a related field, or have equivalent professional experience
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7 Apr 2026 Job Information Organisation/Company NEW YORK UNIVERSITY ABU DHABI Research Field Computer science Researcher Profile Recognised Researcher (R2) First Stage Researcher (R1) Application
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program in the Arts, Sciences, Social Sciences, Humanities, and Engineering. NYU Abu Dhabi, NYU New York, and NYU Shanghai, form the backbone of NYU’s global network university, an interconnected network
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the Computer Engineering program . We seek candidates with a research focus on the theoretical foundations and practical applications of advanced machine learning techniques. Emphasis will be given