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as instructor with the rank open, depending on experience. Instructors support NYU Abu Dhabi's educational mission by assisting faculty with courses in Computer Engineering. These courses include among
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. Optimizations include vectorization (using hardware vector instructions), parallelization (running loop iterations in parallel), enhancing data locality by fusion, and blocking (i.e. accessing arrays in a way
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at the intersection of artificial intelligence and cultural heritage. The successful candidate will be involved in cutting-edge research and development in 3D computer vision and machine learning for the digital
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lab’s mission is focused on research in Arabic natural language processing and computational linguistics. The selected candidate will assist with specific projects in CIDSAI that involve Arabic NLP, and
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blind and low-vision individuals in navigating both outdoor and indoor urban spaces. The project's initial phase will employ machine learning models, computer vision algorithms, and real-time sensory
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background and expertise in one or more of the following areas: High-dimensional probability and concentration/functional inequalities Markov processes and stochastic analysis Theoretical analysis of neural
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processes. Developing and optimizing functional membranes, including electrically conductive membranes, for use in desalination, energy generation, and electrochemical separations. Responsibilities: Conduct
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backgrounds in computer networks, web, internet measurements, satellite, AI and machine learning, or related fields are encouraged to apply. A successful applicant would be working on various projects related
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competitive salary and benefits. Research in the SIT-D lab focuses on understanding and modelling consumers' behavior and decision process for sustainable transport modes and transport innovations. Research is
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the trans-catheterization process. They will characterize the surface modifications of implants using microscopy techniques, including Scanning Electron Microscopy (SEM) and Atomic Force Microscopy (AFM