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Job Description The Department of Finance in the Pamplin College of Business at Virginia Tech invites applications for an Assistant, Associate, or Full Professor of Practice, dependent on qualifications and experience, to teach courses in Corporate Finance, Investments, Cyber Law and General...
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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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Associate. This postdoctoral researcher will work under the supervision of Prof. Bo Ji and Prof. Lingjia Liu, conducting research on immersive communication/computation-aware optimization of next-generation
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his PhD degree in Prof. Curtis Berlinguette’s lab at University of British Columbia in Canada in 2018. He then moved to Prof. Erwin Reisner’s lab at the University of Cambridge for postdoc program. In
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. - Strong proficiency in machine learning, optimization algorithms, and computational modeling applied to construction systems. - Experience with designing and conducting experimental studies to evaluate
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, if desired, to successful candidates. More information on Prof. Liselle Joseph and the PHASE research group can be found at the following link: https://www.aoe.vt.edu/people/faculty/liselle-joseph.html
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Job Description The successful candidate will join a vibrant research environment in the group of Prof. Vito Scarola at Virginia Tech (scarola.phys.vt.edu). The research involves the construction
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(CFD) simulations. More information on Prof. Liselle Joseph and the PHASE research group can be found at the following link: https://www.aoe.vt.edu/people/faculty/liselle-joseph.html. This role offers
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to temporal data, such as RF I/Q streams, audio, or video. (2) Quantum information science and engineering, with emphasis on quantum algorithm development using current and/or near-term quantum computers (3
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Qualifications - Experience in developing algorithms for analysis of biological data. - Experience with single cell and spatial transcriptome data analysis. - Experience in supervised and unsupervised machine