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work that underpins the scientific research of the collaboration. Research Title: Process Modeling using Physically Informed Machine Learning The work will entail: § Designing and training physics
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state-of-the-art experimental and computational models for solving water resource problems worldwide. CHL research and development addresses water resource and navigation challenges in a variety of
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electric vehicle (EV) charging infrastructure. The selected candidate will contribute to the modeling, simulation, and prototyping of innovative hardware solutions, including harmonic mitigation and thermal
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at least two years of experience in one or more of the following areas: Electronics packaging and manufacturing Reliability testing and physical failure analysis Thermomechanical modeling with FEA tools
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: The Infrastructure Materials Group at the National Institute of Standards and Technology seeks a researcher with knowledge of reliability testing and modeling for advanced semiconductor packaging and extensive
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Transportation Program, aimed at addressing power quality challenges in electric vehicle (EV) charging infrastructure. The selected candidate will contribute to the modeling, simulation, and prototyping
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perspective, primarily using C. elegans as a model organism complemented by in vitro biochemical systems. The insights gained from this well-controlled model will provide a foundation for understanding
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project planning, data acquisition, data analysis and manuscript preparation. Pathology of infectious diseases in animals and animal models are major areas of research emphasis in the Department. This is an
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impact of the proposed research that explains how the proposed project will change or influence behavior, practice, procedures, or policy at the relevant scale. A co-creation model of engagement with
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with education and experience Restricted: Yes Criminal Background Check: Yes About the Department: The Center for Spatial Information Science and Systems (CSISS) is an interdisciplinary research center