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of Engineering as well as the new Virginia Tech Institute for Advanced Computing (IAC) located in the Greater Washington, D.C. area. The position involves conducting research in signal processing, machine learning
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. Preferred Qualifications • Experience with deep learning architectures applied to geophysical or environmental data. • Familiarity with physics-informed machine learning or hybrid modeling approaches
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models and machine learning techniques for kinetic equations arising from plasma and neutron transport. The position will be based at Virginia Tech’s campus in Blacksburg, VA. The postdoc will have a
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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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the ability and interest in learning new techniques; must be willing to follow verbal and written instructions; be observant, attentive to detail, organized, efficient, and work well with others
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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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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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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