454 software-engineering-model-driven-engineering-phd-position positions at Virginia Tech
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The Virginia Tech Institute for Advanced Computing (IAC) and the Department of Computer Science invite applications for a faculty position at the rank of Professor or Associate Professor in Human
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CRISPRai and optogenetic control systems and developing predictive metabolic models for the oleaginous yeast Yarrowia lipolytica. This position offers a unique opportunity to conduct cutting-edge research
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modeling, and assessment of financial aid processes. This position will stay up to date on federal and state financial aid regulations and will support compliance efforts not limited to Federal Student Aid
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expertise in any of three key technology areas to support a growing portfolio of programs: (1) Digital communications, signal processing, software-defined radio, and machine learning techniques applied
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teaching and developing courses in engineering problem solving and design are preferred. Individuals with relevant industry experience are encouraged to apply. This position is based in Blacksburg, Virginia
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also be responsible for preparing and utilizing chemical solutions in in-vitro experiments in a wet lab setting, maintain colonies of mouse models of human disease through husbandry and genotyping
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Basketball and Head Coach / Men's Basketball. This position reports directly to the Chief of Staff / Men's Basketball. Required Qualifications Knowledge of NCAA rules and regulations. Experience working in a
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Management o Supervise facilities engineering staff, including technicians, engineers, and contract personnel. o Direct daily activities of engineering and maintenance teams. o Assign tasks, set priorities
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, respectively, by U.S. News & World Report (USN&WR). The primary duties associated with this position will be teaching undergraduate courses offered by the CEE Department in civil engineering with a particular
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microenvironment. The project will employ genetically engineered mouse and human glioma models, along with advanced imaging techniques, single-cell and spatial transcriptomics, and molecular biology approaches