52 engineering-computation-"https:" "https:" "https:" "https:" "https:" "https:" "https:" uni jobs at NEW YORK UNIVERSITY ABU DHABI in United Arab Emirates
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presentations for academic and non-academic stakeholders. Minimum Qualifications: Bachelor’s or Master’s degree in computer science, electrical/computer engineering, applied mathematics, computational biology
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numerical simulations on NYUAD’s High-Performance Computing (HPC) system. Support preparation of scientific manuscripts and presentations: Assist in drafting reports, papers, and conference materials
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, interdisciplinary environment involving faculty, postdoctoral researchers, engineers, and students. Applicants must hold a PhD in Computer Science, Robotics, Electrical Engineering, or a related field, or have
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) Application Deadline 2 Apr 2026 - 00:00 (UTC) Country United Arab Emirates Type of Contract Permanent Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU
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Deadline 22 Apr 2026 - 00:00 (UTC) Country United Arab Emirates Type of Contract Permanent Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is
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Junior Research Scientist in the Center for Quantum and Topological Systems (CQTS) – Dr. Hisham Sati
3 Mar 2026 Job Information Organisation/Company NEW YORK UNIVERSITY ABU DHABI Research Field Engineering Computer science Mathematics Physics Researcher Profile Recognised Researcher (R2) First
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30 Jan 2026 Job Information Organisation/Company NEW YORK UNIVERSITY ABU DHABI Research Field Engineering Computer science Researcher Profile Recognised Researcher (R2) Established Researcher (R3
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Description The Center for Brain and Health (CBH) (https://brainandhealth.org/ ) at New York University Abu Dhabi (NYUAD) is seeking a Research Scientist to explore scientific questions related
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. This individual will be expected to collaborate closely with the project team and coordinate efforts with experimentalists from the Smart Materials Lab (SML) and the Center for Smart Engineering Materials (CSEM
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. Applicants must have an undergraduate degree in computer science, have significant experience with deep learning with PyTorch, and have expertise in reinforcement learning. The applicant should have already