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will also collaborate with a postdoctoral researcher and another PhD candidate on creating new GPU-enabled pharmacophore searching algorithms. Prospective validation will be achieved by predicting
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programming (Python, C++, etc.) and machine learning and signal processing libraries; You have HPC/GPU computing experience, including running deep learning workloads on compute clusters (CUDA-compatible GPUs
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empowers researchers to solve complex problems through a massive ecosystem of 50,000+ CPU cores, 1,000+ GPU resources, and 50PB+ of storage. At CHPC, we foster a positive, collaborative environment where
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Cluster (Jubail) dedicated to the science division, several GPU-based clusters at NYUAD, and other supercomputer facilities through NYUAD. Applicants should have a PhD in computational astrophysics with
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with direct clinical relevance Access to large-scale multimodal biomedical datasets and modern GPU infrastructure Close collaboration with clinicians, biologists, and AI researchers in a highly
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-field code, written in the Cuda C language and parallelized on a single GPU (Graphical Processor Unit). A parallelization on multiple GPUs would be a welcome development during the thesis. Where to apply
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that serve the entire campus community. You will bridge the gap between high-performance hardware and practical user applications, ensuring that our AI infrastructure, from GPU infrastructure to sovereign data
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/GPU environments. Provide consultative support and training to researchers using BRC AI/ML tools and pipelines. Performs related duties & responsibilities as assigned/requested. Qualifications REQUIRED
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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 5 hours 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