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datasets. Experience with GPU-based training and high-performance computing. Interest in translating methodological contributions into high-impact medical AI venues (e.g., Nature Medicine, Nature Machine
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National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | about 1 hour ago
with rotorcraft aerodynamics, comprehensive analysis tools, or high-order unstructured solvers Experience with GPU-accelerated CFD workflows Point of Contact Mikeala Eligibility Requirements Degree
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., NVIDIA Jetson Nano) Real-time processing and GPU acceleration Experience working on industry R&D projects Key Competencies Able to build and maintain strong working relationships with team members
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Computer (HPC) with its sizable cluster of CPUs, GPUs, storage arrays and high speed networking as well as our cloud (AWS) based Data Safe Haven, used for researchers working on sensitive data. As Research
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across multiple data modalities Manage HPC resources and job scheduling on NAISS Arrhenius CPU and GPU partitions Requirements To meet the entry requirements for doctoral studies, you must hold a Master’s
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, multi-modal data, and GPU-accelerated machine learning for materials science. Information We are seeking two highly motivated postdoctoral researchers to join the Horizon Europe project SIMU-LINGUA, a
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environments, including use of high-performance computing clusters and, ideally, GPU-enabled workflows. *Experience with GitHub, version control, and repository management for collaborative and reproducible
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well as large-scale GPU computing facilities for deep learning. Our Lab aims to hire a Research Associate to lead a research project on Real-World Deepfake Detection and Image Forgery Localization. The role will
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). Experience training AI models on GPUs. High motivation for research and a commitment to publishing at top conferences. Proven experience in submitting research to top-tier venues, such as ECCV, CVPR
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(URCF) at Drexel University is building a new shared computing platform focused on GPU-accelerated workloads, particularly AI model training. The system includes GPU and CPU compute nodes with Nvidia H200