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polymer characterization equipment, high-performance computing, metabolomics, and cutting-edge microscopy platforms (NYUAD Core Technology Platforms).The terms of employment are competitive and include
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Post-Doctoral Associate in Sand Hazards and Opportunities for Resilience, Energy, and Sustainability
that spans infrastructure resilience, computational geomechanics, and data-driven risk evaluation. The successful candidate will publish in high-impact journals and contribute to proposals and
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. The group will be contributing to the Physics Modeling (MC software, MC validation and Pileup modeling), the MET High-Level Trigger validation, optimization and performance studies, and to the heterogeneous
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undergraduate students. They will also benefit from the support of established Core Bioinformatics and Sequencing Platforms and High-Performance Computing facilities. Applicants for the Research Assistant
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hardware architectures (multicore, GPUs, FPGAs, and distributed machines). In order to have the best performance (fastest execution) for a given Tiramisu program, many code optimizations should be applied
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medical datasets (e.g., electronic health records data or medical images) Ability to use high performance computing cluster For consideration, applicants need to submit a cover letter, curriculum vitae with
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through computer simulations and/or experimental validation. The PDA is expected to actively disseminate results through publications in high-impact journals and presentations at leading international
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. This involves the development of mathematical models for signal transmission/reception, derivation of performance limits, algorithmic-level system design and performance evaluation via computer simulations and/or
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growth as a hub for AI excellence. The Department of Computer Vision is expanding and invites Associate/Full Professor faculty to apply. The Department of Computer Vision undertakes rigorous, high-impact
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growth as a hub for AI excellence. The Department of Computer Vision is expanding and invites Assistant Professor tenure-track faculty to apply. The Department of Computer Vision undertakes rigorous, high