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to unobtrusively collect various sensor elements with the aim of characterizing the roadway, vehicle, and driver performance. These measures and robust data sets are analyzed to address specific research questions
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methods, terminology and principles. - Knowledge of types and elements of contracts sufficient to permit review of contracts and perform related duties such as review, providing and seeking approvals and
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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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flagging traffic. Installs directional, building identification and parking lot signs. Provide support and installation of misc. exterior elements across campus such as bike rack, bike fix it stations
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jurisdictions utilizing land use-value assessment estimates. Duties include, but are not limited to: development of computational methods, maintenance of current models and data sets, identifying and testing
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prospects. - Establish strong working relationships with other central advancement, collegiate, unit, and constituent development officers and staff to foster a productive work environment. Regional and
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breeding program at Virginia Tech under the mentorship of the program lead, Principal Investigator (PI). The applicant is expected to develop and apply novel predictive breeding methods using high
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measures, including milk samples, infant fecal samples, measures of infant structural and functional brain development using MRI collect during natural sleep, as well as other functional neuroimaging methods
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measures, including milk samples, infant fecal samples, measures of infant structural and functional brain development using MRI collect during natural sleep, as well as other functional neuroimaging methods
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. Previous experience with a wide variety of molecular methods such as PCR and Hybridization, and Electrophoresis. Experience working with RNA and DNA isolation, purification and quantification; familiarity