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experience with computer tools such as MS Word, Excel, Access and Outlook. Demonstrated ability to work well as part of a team in a fast-paced environment. Ability to learn new technical and operational
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, fluorescence in situ hybridization, and bioinformatics. Preferred Qualifications Molecular biology and genetics laboratory experience; web computer skills; ability to learn new techniques and procedures
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with governmental and industry partners. • Familiarity with environmental policy and regulatory frameworks. • Experience in data science, computational chemistry, and/or contaminant transport modeling
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Job Description Applications are invited for a full-time Research Assistant Professor position in Virginia Tech's Bradley Department of Electrical and Computer Engineering. The successful candidate
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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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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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molecular and immunological assays, 2D and 3D cell culture, including primary cells, and procedures with mice. Basic and more complex computational tasks will be required for data analysis and interpretation
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digital fluency, accessible technologies and universal design for learning (UDL), and course and program design. Complementing their focus on research, the UX Researcher helps gauge impact by assisting with
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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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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