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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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. 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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, 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
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Information 53,550-65,029 Additional Information The successful candidate will be required to have a criminal conviction check. About Virginia Tech Dedicated to its motto, Ut Prosim (That I May Serve), Virginia
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( https://www.nature.com/articles/s41593-022-01109-2 ) The successful candidate will work with mice and conduct in vivo neurophysiology with molecular tools, data analysis, and modeling (using MATLAB
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the following directions: 1) Developing computational methods for integrating multi-modal data, such as scRNA-seq, scATAC-seq, spatial transcriptomics, ChIP-seq, and CRISPR screening. 2) Investigating context
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simulations, as well as experience with machine learning interatomic potentials. - Possess a robust understanding of chemical kinetics and thermodynamics, and be proficient in data science techniques to analyze
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a vibrant research environment in the quantum information groups of Prof. Steven Flammia at Virginia Tech. There will be plenty of opportunities for collaboration with other members of the larger