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computing (HPC), distributed compute, or accelerated environments (GPUs, multi-node systems). Solid background in database systems, including: Relational databases (e.g., PostgreSQL / SQL) Graph databases
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), including model training, evaluation, and experimentation. Familiarity with distributed or accelerated computing environments (e.g., GPU‑enabled systems, shared compute clusters). Working knowledge
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, evaluation, and experimentation. Experience working in high-performance computing (HPC), distributed compute, or accelerated environments (GPUs, multi-node systems). Solid background in database systems
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National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | about 1 month ago
, unless they are Legal Permanent Residents of the United States. A complete list of Designated Countries can be found at: https://www.nasa.gov/oiir/export-control . Eligibility is currently open to: U.S
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and Engineering (http://www.cse.uta.edu ) in the College of Engineering at The University of Texas at Arlington, invites applications for an open-rank Academic Professional Track (non-tenure) faculty
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-wave and multimessenger signals and to explore challenging regimes of parameter space. Unit URL https://www.uidaho.edu/science/academics/physics Position Qualifications Required Experience Demonstrated
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reasoning tasks such as camera pose estimation, view synthesis, and 3D scene understanding. Daily activities include coding and debugging deep learning models, conducting experiments on GPU servers, analyzing
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Preferred Qualifications • Experience with GPU programming, shaders, or advanced rendering techniques • Experience integrating external APIs or live data streams • Background in distributed systems or edge
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-Wyoming Supercomputing Center (NWSC), GPU computing resources, and dedicated funding to support research growth. In addition, candidates with energy-related expertise may qualify for funding support from
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recently added the new AI NVIDIA GPU SuperPod (https://news.ufl.edu/2020/07/nvidia-partnership/ ) in support of the AI initiative, which aims to expand the role of AI in higher education and research (https