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. The successful candidate is expected to work closely with our collaborators, including other postdocs and students. The position will be based full time at Jefferson Lab, Newport News, VA. Note that
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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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, AI-enabled solutions intended for end-user use. - Awareness of administrative or business processes and decision making - Experience working with and engaging stakeholders or customers to understand
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Engineering at Virginia Tech. The position focuses on conducting experimental and theoretical research in positioning, navigation, and timing (PNT), with particular emphasis on signal processing and receiver
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dehydroaromatization. The postdoctoral associate will play a central role in the processing, analysis, and interpretation of X-ray Absorption Spectroscopy (XAS) data collected on metal-modified zeolite catalysts under
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Job Description Applications are invited for a full-time Postdoctoral Research Associate position within the Bradley Department of Electrical and Computer Engineering, Wireless@Virginia Tech
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disorders. We will establish a program for deeply characterizing the biology and information processing changes of affected individuals and their response to different treatments. Research Techniques will
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of these positions will be on quantum error correction and fault-tolerant quantum computation. Topics of interest include quantum low-density parity-check (qLDPC) codes, code surgery and lattice surgery protocols
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that can be repurposed for viruses with pandemic potential. This includes working closely with computer scientists to utilize published “omics” datasets and machine learning approaches to identify FDA
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cardiovascular physiology and cardiac disease modeling, including small-animal cardiac surgery models such as transverse aortic constriction (TAC), myocardial infarction (MI), and related models of cardiac stress