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for construction operations. The successful candidate will contribute to cutting-edge research in mixed reality (MR)-based simulation platforms, machine learning-based process optimization, and human-machine
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machine learning for next-generation wireless networks, (ii) Foundations of semantic communications and age of information, (iii) Stochastic geometry and spatial modeling of large-scale wireless systems
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seeking hard working, innovative, flexible, and qualified individual with an interest to learn, participate in, and deliver transportation related research and as well as putting that research to practice
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learn to develop skills as a field scouter, identifying and recording pest and beneficial insect densities in crops of interest. 2) Counting insect densities. Be able to identify insect pests and
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Northern Virginia schools; Experience in technical learning environments and project-based experiences in computer science, data analytics, artificial intelligence, and other emerging technologies in
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critical role in advancing computational materials science by developing and applying first-principles and machine learning methods, with a focus on interatomic potential development and large-scale
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datasets, machine learning, and experimental methods to investigate how the tumor microenvironment and gene regulatory factors control tumor metastasis cascade. By advancing our understanding of malignant
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Alexandria, Virginia. The focus of these positions will be on quantum computing, quantum algorithms, quantum learning, quantum error correction, and quantum fault-tolerance. The successful candidate will join
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effectively. ● Must be detail oriented. ● Experience with and ability to learn computer software. ● Must have a demonstrated ability to interact respectfully and comfortably with all individuals while
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effectively. ● Must be detail oriented. ● Experience with and ability to learn computer software. ● Must have a demonstrated ability to interact respectfully and comfortably with all individuals while