233 engineering-computation-"https:" "https:" "https:" "https:" "https:" positions in United Arab Emirates
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6 Nov 2025 Job Information Organisation/Company NEW YORK UNIVERSITY ABU DHABI Research Field Engineering Computer science Researcher Profile Recognised Researcher (R2) First Stage Researcher (R1
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undergraduate 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
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for academic and non-academic stakeholders. Minimum Qualifications: Bachelor’s or Master’s degree in computer science, electrical/computer engineering, applied mathematics, computational biology, bioengineering
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all areas of mathematics will be considered. For full consideration, applications must be received by December 1, 2025. Only shortlisted candidates will be contacted. Apply at https://acg-apps1.aus.edu
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6 Nov 2025 Job Information Organisation/Company NEW YORK UNIVERSITY ABU DHABI Research Field Computer science Researcher Profile Recognised Researcher (R2) Established Researcher (R3) Country United
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: NYU Abu Dhabi is a degree-granting research university with a fully integrated liberal arts and science undergraduate program in the Arts, Sciences, Social Sciences, Humanities, and Engineering. NYU Abu
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support includes access to NYUAD’s Core Technology Platforms and high performance computing facilities with more than 12,000 computing cores and a peak performance of 400 TFLOPS. About NYU Abu Dhabi https
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funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Description The Division of Engineering (Civil and Urban Engineering) in New York
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Computer Engineering, Computer Science, Data Science, AI, HCI, or a closely related field, and a strong track record of research in areas such as algorithmic fairness, bias in machine learning, ethics in AI
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science, mathematics, computer engineering, or relevant technical field Demonstrable research experience involving data pre-processing and preparation for machine learning models Demonstrable research experience in