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between various system and network architectural layers and relationships between respective protocol capabilities and characteristics, as well as networking analysis and/or decision analytic tools and
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involves developing numerical modeling techniques to achieve highly optimized, multidisciplinary physical modeling on scalable computer architectures. ARL Advisor: Yong-Le Pan ARL Advisor Email
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performed in collaboration with other computational and experimental teams within ARL and academia. Qualified candidates should be US Citizens and have received their PhD in Materials Science, Mechanical
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solutions based on an examination of the problem presented and the current state of the art in various technologies. The successful applicant will have a PhD in Physics or a related discipline with an excess