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                Job Description We invite applications for a postdoctoral associate in theoretical Quantum Information Science in the Computer Science Department of Virginia Tech at the Innovation Campus in 
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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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                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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                Job Description Applications are invited for a full-time Postdoctoral Associate position within the Bradley Department of Electrical and Computer Engineering, Wireless @ Virginia Tech, College 
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                of appointment with a minimum of one year eligibility remaining. - Strong promise of developing an active research program in an area that can be mentored by the Mathematics Department faculty. Preferred 
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                software Preferred Qualifications • Experience in ecological modeling, population dynamics, or fisheries management • Familiarity with species distribution models, catch rate standardization, stock 
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                Job Description The Department of Computer Science, the Department of Electrical and Computing Engineering, and the Innovation Campus at Virginia Tech will be jointly hosting a Postdoctoral 
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                computational approaches, with emphasis on physics-informed or mechanics-informed modeling. • Experience with the manufacture of and testing of thermally modified wood properties Overtime Status Exempt: Not 
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                . Experience with both experimental and computational approaches is desirable, as is proficiency in widely-used microbiological methods. The Aylward lab is a vibrant and dynamic work environment that welcomes 
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                -based models, and remote sensing technologies. Required Qualifications • Ph.D. in Civil or Environmental Engineering, Hydrology, Data Science, Geosciences, Computer Science, or a related field. PhD must