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an interdisciplinary team of mathematicians, psychologists, and engineers who are exploring the dynamics of stress contagion in human crowds. The postdoc will work with colleagues from Virginia Tech and other
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and data-driven modeling approaches to understand mechanisms that drive stress contagion. In addition to teaching two lower-division mathematics classes per year, the postdoc will also be responsible
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and laboratory-based methods to investigate the long-term frequency and magnitude of historic and prehistoric earthquakes and tsunamis at the Cascadia, Alaska, and Chile subduction zones. The data
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. The Postdoctoral Associate is expected to lead research projects from experimental design, data analysis, to presentations in lab meetings, conferences, and seminars, as well as prepare manuscripts for peer-reviewed
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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 vortical flows - Experience working collaboratively with experimentalists in aeroacoustics Overtime Status Exempt: Not eligible for overtime Appointment Type Restricted Additional Information The successful
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, conducting research on key aspects of the foundations of data science. Areas of focus include sublinear, streaming, and sketching algorithms; learning-augmented algorithms; algorithmic fairness; and learning
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statement of interest and fit for the position, and a list of three references with contact information. Questions about the position can be directed to Dr. Lisa Gunter at lisagunter@vt.edu. Review
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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
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adolescents to older adults. For more information about the AND lab please visit: https://andlab.psyc.vt.edu/ and the JK Lifespan Development Lab, visit: https://support.psyc.vt.edu/labs/jklifespan. Key