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Job Description Reporting to the Post Award Team Lead in the Office of Sponsored Programs (OSP) at Virginia Tech, the Post Award Associate will be responsible for receipt and payment processing
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systems. • Develop and implement predictive models for packaging performance using machine learning approaches and physics-based simulations. • Investigate logistics optimization strategies for packaging
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Methods: Physics-Informed Neural Networks (PINNs), operator learning, and neural surrogates; hybrid modeling combining governing equations, simulations, and data; uncertainty-aware learning
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technology to partner in the design, modernization, and delivery of high quality learning experiences for Doctor of Veterinary Medicine (DVM) students. This position plays a key role in advancing the College’s
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Patients to teach and refine physical examination skills in which the Standardized Patient uses their own body as the model. Job Responsibilities: Responsibilities include simulating a patient case and
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Research Institute (FBRI) at Virginia Tech Carilion (VTC). About the Lab The lab integrates state-of-the-art neural recording technologies, complex cognitive tasks, and computational models to investigate
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Public Health (BSPH), a 4+1 accelerated program, and several dual-degree programs (MD/MPH, DVM/MPH), collectively graduating over 150 students each year. All degrees are fully accredited by the Council
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surgeries, including transverse aortic constriction (TAC), myocardial infarction (MI), ischemia-reperfusion injury, and related surgical models of cardiovascular disease. The individual will also assist with
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research environments. • Experience in mission engineering, digital engineering, modeling and simulation, or systems engineering. • Experience supporting rapid prototyping or iterative capability development
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, improving faculty pre- and post-award service, strengthening compliance support, generating better research intelligence, and creating a scalable model for responsible AI use in research administration