16 algorithm-"Multiple"-"U"-"Simons-Foundation" "Prof" research jobs at Virginia Tech
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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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. - 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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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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, 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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neuroscience. This hybrid role integrates technical research operations with data and business coordination across multiple sites. The successful candidate will facilitate research participant engagement, manage
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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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experience mentoring graduate students and contributing to the development of grant proposals • Research background spanning multiple emerging areas such as AI/ML for communication systems, age of information
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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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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