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candidate will work in a multidisciplinary team and have opportunities to mentor graduate students and undergraduate students. Opportunities to Contribute: Numerical model development: Develop coupled models
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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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work with colleagues from Virginia Tech and other collaborating universities to run, analyze, and model human evacuation experiments. Data will include motion capture and psychophysiology data to explore
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microenvironment. The project will employ genetically engineered mouse and human glioma models, along with advanced imaging techniques, single-cell and spatial transcriptomics, and molecular biology approaches
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. Demonstrated understanding of numerical coastal wave modeling and application to coastal engineering, (e.g., erosion control structures). Familiarity with different scenarios for sea level rise, coastal
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Position Highlights We seek an early career scientist with background in ecohydrology, numerical modeling and/or remote sensing to fill a position as Postdoctoral Research Associate at the Department
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USA Position Highlights We seek an early career scientist with background in ecohydrology, numerical modeling and/or remote sensing to fill a position as Postdoctoral Research Associate
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within the past four years with at least one year of eligibility remaining - Experience with conducting analytical research in aeroacoustics Preferred Qualifications - Expertise with the modeling
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rodent models (mice and rats), as well as related experimental procedures. The work primarily involves animal behavior research to determine drug dosing and side-effect profiles. Prior experience in pain
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Postdoctoral Appointee - Uncertainty Quantification and Modeling of Large-Scale Dynamics in Networks
modeling of large-scale dynamics in networks. This role involves creating large scale models of dynamic phenomena in electrical power networks and quantifying the risk of rare events to mitigate