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changing needs Preferred Qualifications Experience in radiological risk assessment Experience in biokinetic model development Experience with Monte Carlo radiation transport software and applications
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computing and quantum algorithms • Background in quantum many-body theory for condensed matter systems • Experience in the development of quantum algorithms to study model Hamiltonians. Preferred
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Science or related discipline. Demonstrated experience in scientific data visualization, AI/ML, or a related field. Proficiency in the Python and C++ programming languages. Preferred Qualifications: Strong publication
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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