125 algorithm-development-"Prof"-"Washington-University-in-St"-"Prof"-"Prof" positions at Zintellect
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research and analysis in the Army. US citizenship is required for this research opportunity. The successful candidate will assist with the development of novel nano-mechanical test methods for and
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development; direct fire and indirect fire munition flight dynamics; experimental ballistics experience with design and execution of various in-situ diagnostic devices. This research opportunity aligns with
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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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. Experimental approaches focus on developing and utilizing novel technology platforms to examine new multi-sensor combinations and critical issues of multisensory integration in real-world environments. We aim
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to protecting soldiers from harm. The approach requires the development of intelligent robots that also have a high degree of autonomy. To accomplish this, ARL has developed a robotic control system that has
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Organization DEVCOM Army Research Laboratory Reference Code ARL-C-WMRD-3502917393 Description About the Research Develop new experimental techniques towards improved understanding of underlying
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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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developed at ARL for single-camera imaging pyrometry. This research opportunity aligns with the ARL’s core competency of Ballistics Sciences focused on gaining a greater understanding and discovery
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Organization DEVCOM Army Research Laboratory Reference Code ARL-R-WMRD-1598420731 Description About the Research ARL is developing new multifunctional materials and structures to enhance
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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