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hours/week. What You'll Do: Lead and conduct housing research to identify, analyze, and address housing issues across Iowa. Design, manage, and collaborate on complex and multidisciplinary housing
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educational technology spaces can foster embodied and epistemic engagement with scientific practices – helping students not only understand complex concepts and procedures in the short term, but also develop
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
technical personnel. * Experience in research design, project management, data analysis, and interpretation of complex biological datasets. Preferred Qualifications, Competencies, and Experience * Expertise
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administrative workload, the standardization of complex assessments, and reduced professional discretion. There is therefore a need for more research examining how digitalization unfolds in practice. The PhD
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Network that aims to bring Electric solar wind sail (E-sail) from Low Earth Orbit (LEO) demonstration missions to the operational environment of the solar wind. It is delivered by 8 universities in
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experience levels. Apply a strong understanding of enterprise cybersecurity and technology security challenges. Utilize knowledge of computer network defense tools and processes, including leading commercial
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experience levels. Apply a strong understanding of enterprise cybersecurity and technology security challenges. Utilize knowledge of computer network defense tools and processes, including leading commercial
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levels. Apply a strong understanding of enterprise cybersecurity and technology security challenges. Utilize knowledge of computer network defense tools and processes, including leading commercial vendor
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. Developing Strengths and Building Potential through Interdisciplinary and International Networking”. Project background Pancreatic ductal adenocarcinoma (PDAC) remains one of the deadliest cancers
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framework, covering a wide spectrum from RANS approaches to high-fidelity LES with automatic mesh adaptation. In parallel, recent work has led to the development of multi-fidelity modeling strategies