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Job Description We invite applications for a postdoctoral associate in theoretical Quantum Information Science in the Computer Science Department of Virginia Tech at the Innovation Campus in
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Job Description The Department of Computer Science, the Department of Electrical and Computing Engineering, and the Innovation Campus at Virginia Tech will be jointly hosting a Postdoctoral
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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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. - Interest in mentoring graduate students and contributing to the strategic direction of a dynamic research program. Exempt: Not eligible for overtime Appointment Type Restricted Salary Information 53,550
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candidate will play a key role in developing and advancing new models and simulations for Computational Fluid Dynamics (CFD) hypersonic codes. Specific tasks include developing new turbulence and transition
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. Techniques we use include in vitro neural differentiation, gene expression manipulation, metabolic assays, and mouse breeding and behavior. Knowledge in basic computer skills, record keeping and experience
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Job Description The Ye Lab is seeking a highly motivated Postdoctoral Associate to join our team and contribute to an NIH-funded project focused on understanding how glioma hijacks the tumor microenvironment to drive malignant progression. Our research lies at the intersection of glial biology...
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foresee pandemics and minimize their impact. The Center invites applications for a Postdoctoral Associate with expertise in machine learning and computational biology. This position focuses
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and the Bradley Department of Electrical and Computer Engineering at Virginia Tech, Blacksburg, VA. The position involves conducting experimental research in the broad scope of wireless communications
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, particularly turbulence in the boundary layer; developing new high-speed measurement techniques, particularly using optical diagnostics methods; augmenting experimental data with Computational Fluid Dynamics