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and training junior scientists. Our lab uses patient-derived samples, iPSC models, CRISPR-based genome editing, single-cell multi-omics, and mouse disease models to uncover how germline and acquired
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supervision of Prof. Yingda Cheng on computational methods and modeling for kinetic equations. The research conducted will involve development of numerical methods, development and analysis of reduced order
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play a central role in a multidisciplinary project aimed at engineering programmable CRISPRai and optogenetic control systems and developing predictive metabolic models for the oleaginous yeast Yarrowia
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predictive modeling approaches to understand corrosion mechanisms and coolant/fuel chemistry in extreme conditions. The successful candidate will oversee corrosion-focused projects sponsored by industry and/or
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or experience of analytical methods such as technical efficiency analysis, risk modelling, economic impact analysis. • Demonstrated knowledge or experience working with retail level scanner datasets and/or
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tasked with maintaining an inventory of school-branded items for internal and external use and with other duties as the school’s needs dictate. Working within the advancement model, this individual’s
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and AML. We integrate genomic and functional approaches on patient derived samples, iPSC and mouse disease models to uncover mechanisms and therapeutic vulnerabilities. Current project areas include: 1
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-range financial goals and objectives for AAD, including modeling and forecasting prospective revenues and expenditures under different assumptions and scenarios; exhibit a mastery of the Virginia Tech
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the human brain to understand human cognitive function and dysfunction. The research technician will be responsible for in-vitro data collection to inform in-vivo models of human neurochemistry
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candidate will join Dr. Siddharth Saksena’s research group, which focuses on advancing hydrologic modeling, flood forecasting, and hydroinformatics through the integration of artificial intelligence, physics