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collaborating universities to run, analyze, and model human evacuation experiments. Data will include motion capture and psychophysiology data to explore stress contagion and collective motion, as well as survey
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modeling. PhD must be awarded no more than four years prior to the effective date of appointment with a minimum of one year eligibility remaining. • Experience with analysis of time series data. • Solid
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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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. 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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the area of analytical aeroacoustics. The position is concerned primarily with the sound of unsteady vortex flows and their interactions with edges. The position requires a PhD in engineering or a
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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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, 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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Qualifications - PhD in neuroscience, computer science, or related field. PhD must be awarded no more than four years prior to the effective date of appointment with a minimum of one year eligibility remaining
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, 2025 Additional Information PhD awarded no more than four years prior to the effective date of appointment with a minimum of one year eligibility remaining. The successful candidate will be required
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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