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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 3 hours ago
these architectures through simulation (e.g. ns-3) and hardware test platforms (e.g. Software Defined Radio) will enable critical information for architecture selection of future planetary missions. Field of Science
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multiple opportunities to train graduate and undergraduate students, collaborate with other labs testing our GEVIs, and compete for early career fellowships. Consideration will also be given to exceptional
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twin system for the structural performance of civil engineering structures. The project is a collaboration between multiple research groups led primarily by Professor Tarek Abdoun and Professor Mostafa
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also involve field visits to wildfire sites to test and validate research protocols developed for this project. Duties/Responsibilities: The incumbent will be responsible for processing and analyzing
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multiple systems Driving use-case studies that demonstrate the benefits of semantic integration, e.g. in scheduling, resource sharing, or formulation optimization Collaborating with chemical engineers
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to test insect inspired sensing and estimation strategies. About the College of Engineering The College of Engineering at the University of Nevada, Reno values its faculty and staff as key partners in
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software tools The development and validation of machine learning and artificial intelligence models focused on representing the structural response Physical experimental testing for structural and
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, mobility and cost. This project aims at developing a dehydration monitoring system that fuses multiple modalities of measurement in order to enhance the quality of measurement, and improves usability by
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processing software Knowledge of in situ neutron and x-ray scattering/tomography techniques for materials examination Experience with complex mechanical testing of materials Flexibility to adapt evolving
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Qualifications Experience in: Developmental science and/or education Engaging in research and a strong track record of publication Statistical background to at least the intermediate level of multiple regression