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experience in hydrological or Earth system modeling, with emphasis on process understanding and prediction. Strong background in computational sciences, including numerical methods, high-performance computing
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. Experience interacting with industry (e.g., utilities, power producers) is an asset. The Water Resources Science and Engineering Group works on water-energy problems of national significance with direct
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Preferred Qualifications: We are interested in candidates with general research experiences in quantum optics and quantum information science. Priority is given to candidates with experience on the design
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reproducible AI practices. Heterogeneous Data Integration: Address challenges in reconciling experimental, simulation, and observational datasets with varying resolutions, data fidelity, and sampling rates
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to develop AI-enabled, low-latency signal-processing algorithms for next-generation pixel detectors used in high-energy physics experiments. This position offers the opportunity to engage in cutting-edge
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seeking postdoctoral candidates to investigate the mechanical and thermophysical behavior of irradiated metals and ceramics using advanced experimental and computational methods. The selected candidates
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: Strong publication record with publications in journals/conferences related to scientific visualization, scientific computing, and/or uncertainty quantification. Strong experience in using techniques
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applied mathematics and computer science, experimental computing systems, scalable algorithms and systems, artificial intelligence and machine learning, data management, workflow systems, analysis and
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, work together, and measure success. Basic Qualifications: A PhD degree in Meteorology, Atmospheric Science, or a related discipline. A minimum of 1 year of experience with the Weather Research and
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HPC research within past five years. Preferred Qualifications: The ability to work independently and develop and deploy methods at scale. Experience in high-performance computing and software