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stakeholders, and collaborate with other scientists, other ORISE fellows, Hub leadership, and partners to determine potential solutions and pathways for optimizing productivity. Learning Objectives: The Fellow
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the mission. Gain experience in developing new diagnostic assays to support the Chem-Bio Defense Program (CBDP), participate in sample testing from OCONUS and internal projects for the detection of high
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touted our success in developing the technologies that took on acid rain in the 1970s and mercury in the early 2000s. Program Goals The Professional Internship Program is designed to introduce
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. Research will involve one or more of the following areas: * Developing algorithmic frameworks and models for information interaction and network characterization and optimization. Investigating relationship
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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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background in developing novel analysis techniques from one of the following disciplines: mathematics, statistics, physics, computer science, engineering, biology, psychology and neuroscience. ARL Advisor
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considered. The Associate will pursue well-defined objectives within the broad scope of this program, but should have the ability to do research within a multidisciplinary team that includes collaborators from
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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
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between resolution and time, we aim to leverage the recent explosion in wearable technologies, physiological monitoring, environmental sensing, communications, computing technology, network technologies