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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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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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interdisciplinary foundation in chemistry. Ph.D. must be awarded no more than four years prior to the effective date of appointment with a minimum of one year eligibility remaining. - Proven expertise in PFAS
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of appointment will be two years. The position is on an interdisciplinary team of mathematicians, psychologists, and engineers who are exploring the dynamics of stress contagion in human crowds. The postdoc will
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research at the intersection of computational materials science and machine learning. Required Qualifications - Ph.D. in Materials Science, Physics, Chemistry, Chemical Engineering, or a closely related
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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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to co-mentor graduate and/or undergraduate students at Virginia Tech. Postdoctoral research support is available for at least one year. The postdoc will have access to professional development and formal
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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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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