27 assistant-professor-and-human-centered-computing Postdoctoral positions at Virginia Tech
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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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. 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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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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Job Description The research group led by Professor Hongliang Xin (xingroup.org) at Virginia Tech invites applications for a full-time Postdoctoral position. The successful candidate will play a
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, the postdoctoral associate will help to coordinate evidence-based learning networks of NPS units and other educational organizations to (1) direct data collection and conduct research on their programs and
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Job Description The Department of Computer Science at Virginia Tech will be hosting a Postdoctoral Associate. This postdoctoral researcher will work under the supervision of Prof. Ali Vakilian
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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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Center (OTIC) Washington DC Metro Area. The CCI xG Testbed, led by Dr. Aloizio Da Silva, is looking for motivated and talented researchers with expertise in Cellular Communication Network, Open RAN
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Qualifications Research experience in bioreactor design and operation. Capable of doing technoeconomic analysis and life cycle analysis. Self-motivated to lead research endeavors. Good human skills to interact
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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