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environment. Required Qualifications • Bachelor’s degree in Computer Science, Information Technology, or related field or equivalent education and/or experience. • Foundational knowledge or coursework related
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maintained efficiently, continuously improved, and can incorporate changes quickly. Applicant must be able to work independently and as part of a team to engineer on-premise and cloud infrastructure and data
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performance in advanced nuclear reactor environments. Under the mentorship of the Center Director/PI, the postdoc will develop and apply novel experimental methods, advanced characterization techniques, and
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engineering effort, plan implementation, and deploy changes that meet requirements for functionality, performance, reliability, and adherence to best practices. • Leverage public cloud services and on-premises
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, the successful candidate is expected to be involved and collaborate with other faculty in the department's innovative Bridge Experience Program (https://xl.vt.edu/programs-and-opportunities/bridge-experience.html
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to contribute to major collaborative program funding are welcome to apply. Research infrastructure at the FBRI currently includes over 300,000 square feet of lab, core facilities and office space (http
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research initiative by VT located at both our main medical center campus in Roanoke (https://hst.vt.edu/campus.html ) as well as our facility at the Children’s National Research and Innovation Campus in
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. The manager will develop an annual work plan in consultation with the two supervisors and is evaluated on the success of that plan. The Department of Engineering Education (http://www.enge.vt.edu) is home to
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for the institute. The highly skilled manager will have experience and depth of knowledge of a comprehensive communications program, developing strategies and deploying them across platforms with diverse groups
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- https://fbri.vtc.vt.edu/ ) for a tenured or tenure-track faculty position at the associate or full professor level. The research institute supports entrepreneurial activity through dedicated translational