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investigation and developing software algorithms and techniques to support human or machine information interactions for the purpose of information retrieval/dissemination, analysis and/or decision making
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to include complete knowledge of the electromagnetic spectrum and the wide range of possible sensors which take advantage of the various signatures of threats and vehicle/building platforms. Focus for sensors
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techniques for assessing cyber vulnerability and degree of adversarial activity over wired and wireless networks with distributed intrusion detection sensors, (ii) developing experimentally-validated models
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algorithms) that enable rapid creation of new high-fidelity multi-scale/multi-physics computer models of materials capable of utilizing modern extreme-scale computing environments. The success of multi-scale
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be chosen from one of the areas: (1) Sensor modeling; (2) Countermeasure modeling; and (3) Database management. Applicants for the research category should possess strong C++ programming skills and/or
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Mexico, and elsewhere), and in relating particle composition to measurements of size distributions, air mass trajectories, etc.; (2) development of algorithms to process complex spectral data and identify
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and often different from the canonical types of data used to benchmark machine learning (ML) algorithms. In this opportunity, we will be evaluating how state-of-the-art ML techniques can be used
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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