46 algorithm-"Multiple"-"Prof"-"U"-"St"-"Simons-Foundation" Postdoctoral positions in United States
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, Margo, MPI, libfabric, etc.) Build CI/CD workflows to validate changes across multiple targets Work with system engineers to deploy DataSpaces on HPC clusters and edge nodes Profile and optimize
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scale and resolution. This ambitious project spans multiple institutes including the Wu Tsai Neurosciences Institute, Stanford Bio-X, and the Human-Centered Artificial Intelligence Institute, bringing
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 4 hours ago
resources to be extended across a greater number of missions. In contrast to a monolithic relay, swarms enable a greater degree of granularity in supporting multiple probes simultaneously. Swarms also provide
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Models with Algorithmic Reasoning Tasks We are seeking a postdoctoral researcher to contribute to our lab’s mission of aligning machine learning (ML) models with algorithmic reasoning tasks. Our goal is to
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learning algorithms into professional software with an intuitive user interface, incorporating feedback from CHWs through iterative design and evaluation cycles. The selected candidate will be part of a
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Group , a leader in innovative multi-sensor atmospheric remote sensing from ground, airborne, and satellite platforms. Our group develops advanced algorithms and data analysis methods to address
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Description The Quantum Information team at UMass Amherst is involved with modeling and optimization of quantum hardware, as well as development of new modeling methods and algorithms, in collaboration with
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Group , a leader in innovative multi-sensor atmospheric remote sensing from ground, airborne, and satellite platforms. Our group develops advanced algorithms and data analysis methods to address
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training algorithms and AI architecture. Image reconstruction, segmentation, and classification. High performance computing for spatiotemporal data. Major Duties/Responsibilities: Develop foundation AI
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of application development techniques (numerical methods, solution algorithms, programming models, and software) at scale (large processor/node counts). A record of productive and creative research as proven by