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University, to begin as early as July 1, 2025. Topics include the experimental quantum simulation of chemical and condensed-matter systems using 1D and 2D ion arrays, and the development and optimization
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DEEPFRAC, 2024.14907.PEX, financed by national funds (OE) through FCT.IP, under the following conditions: Scientific Area: Computational Mechanics/Phase field development Admission Requirements: Post
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of the Rocky Mountains in Golden, Colorado is the nation's primary laboratory for energy systems research and development. Join the National Laboratory of the Rockies (NLR), where world-class scientists
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of the data used in their computation. We want to understand the fundamental principles that permit us to build privacy-aware AI systems, and develop algorithms for this purpose. The group collaborates with
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ultrasonic RF data from wearable ultrasound devices using advanced beamforming techniques. Develop image reconstruction algorithm and investigate using time series ultrasound image analysis for continuous
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National Aeronautics and Space Administration (NASA) | Hampton, Virginia | United States | 6 days ago
questions in Earth System science is also a goal of this opportunity. Efforts are expected to be conducted in collaboration with the SAGE algorithm/data processing and validation teams, as
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unique opportunity to engage in transformational research that advances the development of AI-ready scientific data, optimized workflows, and distributed intelligence across the computing continuum. In
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High-Energy Physics (HEP). We seek highly qualified candidates with interest and experience in ML algorithms including unsupervised techniques, time-series modeling, and clustering algorithms
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hundreds to thousands of years. Models will be used to reconstruct land-cover change in the surrounding of pilot sites, to reproduce the evolution of soil erosion, sediment, and carbon transfers in those
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incremental optimization. We seek researchers to develop next-generation machine learning methods that fundamentally rethink how large-scale AI systems are trained, fine-tuned, and deployed. Our focus is on