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introduce innovative approaches for developing next-generation-quality physical genome maps for disease vectors. The candidate will characterize chromosomal rearrangements in the arboviral vector Aedes
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computational approaches, with emphasis on physics-informed or mechanics-informed modeling. • Experience with the manufacture of and testing of thermally modified wood properties Overtime Status Exempt: Not
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Job Description Applications are invited for a full-time Postdoctoral Associate position within the Bradley Department of Electrical and Computer Engineering, Wireless @ Virginia Tech, College
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candidate will join Dr. Siddharth Saksena’s research group, which focuses on advancing hydrologic modeling, flood forecasting, and hydroinformatics through the integration of artificial intelligence, physics
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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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and optimization of measurement-based quantum computing protocols for quantum simulation of quantum many-body models. Preference will be given to candidates familiar with the stabilizer formalism and
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computational data analysis. With guidance and support from the supervisor, the postdoctoral associate is expected to lead a project within their scientific discipline and collaborate with other researchers