117 structural-engineering-"https:"-"https:"-"https:"-"https:"-"https:"-"UCL"-"UCL" positions at University of Virginia
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The Department of Biomedical Engineering at the University of Virginia seeks a Postdoctoral Research Associate. The successful candidate will work in the lab of Craig H. Meyer, PhD, Professor
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The University of Virginia’s School of Law is seeking an Audiovisual Support Engineer to join the Law IT team. The University of Virginia School of Law is consistently recognized as one of the top
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in Civil Engineering. Relevant experience in a technical field may be considered in lieu of a degree Experience: Minimum of four years of experience in design, construction, operations, or concentrated
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The Genomics Analysis and Technology Core Specialist will support cutting-edge research by providing high-quality genomics services to internal and external investigators. The Specialist will have
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A Postdoctoral Research Associate position in cardiac MRI is available in the Biomedical Engineering Department at the University of Virginia (UVA) in Charlottesville, Virginia. The Research
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throughout the University. The department has three core teams; Construction and Renovation, Service, and Engineering. The engineering team is composed of eight members representing a variety of disciplines
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The Dean’s Office Finance and Budget team within the School of Engineering and Applied Science (SEAS) at the University of Virginia (UVA) seeks applications for a Finance Generalist. The School
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Department Overview The School of Engineering and Applied Science (SEAS) at the University of Virginia drives innovation in teaching, research, and service to society. The Data and Platform Services
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device technology. Salary and benefits offered will be commensurate with the candidates' experience and qualifications. APPLICATION PROCEDURE: Apply online at https://uva.wd1.myworkdayjobs.com and attach
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The Department of Electrical and Computer Engineering at the University of Virginia is accepting applications for research scientist position for machine learning methods for magnetic resonance