10 programming-"https:"-"https:"-"https:"-"BBMRI-ERIC" research jobs at Virginia Tech
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Job Description Assist applied research on housing affordability and housing programs for state and local governments, businesses and non-profits. Conduct literature review to support housing
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research program that works both within and at the boundaries of data science/econometric methods and the social sciences to discover, create, and disseminate new knowledge. The successful candidate will
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motivated and collaborative researcher with expertise in engineering, materials science, or related computational fields to contribute to our growing research program in sustainable food packaging. Current
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digital fluency, accessible technologies and universal design for learning (UDL), and course and program design. Complementing their focus on research, the UX Researcher helps gauge impact by assisting with
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meetings with utility stakeholders to present results and inform research directions. 5. Coordinate with OWML field and laboratory staff to plan and execute fieldwork and laboratory work. 6. Conduct data
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detailed research and progress reports. • Teaching: Pursuing limited teaching opportunities as appropriate. A formalized mentoring plan will be co-developed with Dr. Marston at the start of the position
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date with a background in physics, computer science, or a closely related field. A strong background in quantum mechanics and programming skills are necessary. Preferred Qualifications Knowledge
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and collaborative researcher with expertise in engineering, materials science, or related computational fields to contribute to our research program focused on transport packaging optimization and
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analysis (FEA) methods and tools • Experience programming with C++ • Experience using numerical methods, including linear algebra, for structural modeling Overtime Status Exempt: Not eligible for overtime
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collaboratively in interdisciplinary teams. Preferred Qualifications - Experience with stakeholder engagement or extension programming. - Familiarity with statistical software (e.g., SPSS) and qualitative analysis