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an interest in Engineering Science may apply or may apply to other opportunities listed below. Bioscience (URA-SNL-BioSci-2027-Summer ) Computing and Information Science (URA-SNL-CompInfoSci-2027
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provide a hands-on STEM learning opportunity focused on Computing and Information Science. To ensure that our fundamental science and engineering core is vibrant and continually pushing the forefront
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apply to other opportunities listed below. Bioscience (URA-SNL-BioSci-2027-Summer ) Computing and Information Science (URA-SNL-CompInfoSci-2027-Summer ) Engineering Science (URA-SNL-EngineeringSci-2027
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apply or may apply to other opportunities listed below. Bioscience (URA-SNL-BioSci-2027-Summer ) Computing and Information Science (URA-SNL-CompInfoSci-2027-Summer ) Engineering Science (URA-SNL
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): Chemistry and Materials Sciences (12 ) Computer, Information, and Data Sciences (17 ) Earth and Geosciences (21 ) Engineering (29 ) Environmental and Marine Sciences (14 ) Life Health and Medical
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Doctoral Degree. Discipline(s): Chemistry and Materials Sciences (12 ) Computer, Information, and Data Sciences (17 ) Earth and Geosciences (21 ) Engineering (29 ) Environmental and Marine Sciences
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Information Science (URA-SNL-CompInfoSci-2027-Summer ) Engineering Science (URA-SNL-EngineeringSci-2027-Summer ) Earth Science (URA-SNL-EarthSci-2027-Summer ) Materials Science (URA-SNL-MaterialSci-2027-Summer
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) degree in any of Engineering, Computer Science, Physics, Mathematics. Excellent English written and spoken communication skills. Experience in one or more of the following areas is desirable: Control
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support for the lab Job Requirements: Bachelor’s or Master’s degree in Electrical Engineering, Computer Science, or related field Knowledge and experience in world model, computer vision and deep learning
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Research Participation Program at the U.S. Department of Defense . Qualifications The qualified candidate will have a bachelor's or master's degree in Computer Science, Software Engineering, or other