30 embedded-system-"https:"-"https:"-"https:"-"https:"-"St" research jobs at Virginia Tech
Sort by
Refine Your Search
-
Job Description Transportation Packaging and Distribution Systems Research The department for Sustainable Biomaterials and its Center for Packaging and Unit Load Design (CPULD) at Virginia Tech
-
optimize LIFU as a new human brain mapping tool and for translation to clinical therapies in addiction, mental health and pain. Knowledge in basic computer skills, record keeping and experience with human
-
Environmental Engineering at Virginia Tech. While the primary focus is to conduct and disseminate high-impact research on human-water systems, the position is designed to accelerate your professional growth
-
research team and water utility and government stakeholders. The Virginia Tech Occoquan Watershed Monitoring Laboratory (OWML) is operated by the Department of Civil and Environmental Engineering (CEE
-
initiatives include developing advanced aqueous emulsion and suspension systems for spray coating, predictive modeling of packaging performance, and optimizing packaging designs for high-value product
-
Job Description The Cognition, Affect, and Psychophysiology Lab (CAP Lab) at Virginia Tech, headed by Dr. Martha Ann Bell, is seeking 2 full-time Research Assistants for the HEALthy Brain and Child
-
Job Description Applications are invited for a National Science Foundation funded (LEAP HI Program #2051685), Postdoctoral Associate position with the System Performance Laboratory (SPL
-
to be leaders and problem-solvers. A comprehensive land-grant institution that enhances the quality of life in Virginia and throughout the world, Virginia Tech is an inclusive community dedicated
-
purchasing and reimbursement requests, and generate travel and meeting itineraries for CNR personnel and guests. Experience in site monitoring and business operations is preferred. Further, the incumbent will
-
systems for accelerating computational catalysis and experimental design. The successful candidate will contribute to building AI-native frameworks that combine first-principles modeling, machine-learning