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models at multiple scales are usually developed and combined into a single multi-scale/multi-physics model. With this process, analysis and optimization are possible. Computational analysis and design of
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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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research and analysis in the Army. Interdisciplinary research opportunities exist in materials modeling at length scales ranging from atomistics to mesoscale microstructures to support discoveries relating
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dispersion, fuze activation timing, etc. Two categories of research are sought and both will support ongoing development of a software suite for APS modeling and simulations. Research in the first category may
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the physical effects of the propagation environment; computational/numerical modeling using novel and standard approaches, such as, entropy maximization, immunology, and high performance parallel processing; and
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metrics, developing models, and analyzing performance for intrusion detection systems and networks. Specific opportunities exist in the following areas: (i) identifying metrics and continuous monitoring
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: communications, atmospheric modeling, battlefield visualization, and computing About ARL-RAP The Army Research Laboratory Research Associateship Program (ARL-RAP) is designed to significantly increase
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the effects of the environment on biological and other aerosols. The development of modeling capabilities for such problems is an aspect of these opportunities. ARL Advisor: Steven Hill ARL Advisor Email
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and experience with measurement and user interface hardware and software integration desired. Computational scientists with experience in the modeling of closed-loop systems are similarly encouraged
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cognitive modeling systems (e.g., ACT-R Soar, EPIC). A strong background in robotics is not required, though learning the robotic control system will be required once the Associate begins the program