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Generative AI Labs (GAIL), translating cutting‑edge research into working open‑source prototypes and scalable tools. They collaborate closely with Wharton Computing, faculty researchers, and external partners
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including knowledge of PyTorch, Tensorflow, Pandas, Scikit-learn and/or Numpy. Knowledge of GPU-based computing, including multi-gpu/multi-node parallelization techniques. Fluency in spoken and written
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3T Siemens MR scanners, OPM-MEG, EEG, eye tracking, and TMS laboratories. They will also have access to Princeton's world-class computational infrastructure, including GPU systems capable of running
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, OIT/UAHPC and external partners to develop software and tools to support hydrologic modeling, data analysis and scientific computing. Builds, optimizes, and maintains complex software applications using
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Description The Clinical Artificial Intelligence Lab at NYU Abu Dhabi seeks to improve patient care by developing new machine learning methodologies that tackle unique computational problems in
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, combining scientific excellence with real-world impact. They operate within a unique ecosystem that includes the AI Foundry (state-of-the-art GPUs and engineering capacity), the System for User Knowledge (SUK
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Education Centers across Tennessee, providing real-world testbeds for agricultural technology deployment • State-of-the-art computing resources, including high-performance computing (HPC) clusters and GPU
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(Jubail) dedicated to the science division, several GPU-based clusters at NYUAD, and other supercomputer facilities through the CASS network. NYUAD also has guaranteed observing time on the Green Bank
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: Responsibilities: Provide computational support for structural biology research involving cryo-EM, X-ray crystallography, and molecular modeling. Maintain and manage specialized Linux-based GPU computing systems
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and independent research program, teach effectively at both the undergraduate and graduate levels, and provide service to the department, the university, and the profession. The Aerospace Engineering