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decision support data or analytical capabilities. * Generating computationally numerical algorithms for data processing and analysis, using supervised and unsupervised machine learning models and methods
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multiple time scales across a large group of individuals, and to use these theories to develop novel methods to predict an individual’s future performance. In contrast to previous efforts that made tradeoffs
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Photonics, Electronics, & Quantum Sciences (PE&QS) Materials (and related manufacturing methods) and devices intended for achieving photonic, electronic, and quantum-based effects. About ARL-RAP The Army
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materials, and polymer nanofibers. Employ mechanophore based stress-field measurements and digital image correlation methods. The goals of the Weapons and Materials Research Directorate (WMRD) are to enhance
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intrusion detection sensors and possibly mobile nodes, and (iv) validation methods for intrusion detection models, systems, and tools. ARL Advisor: Hasan Cam ARL Advisor Email: hasan.cam.civ@army.mil About
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materials is applicable across a wide range of materials science and technology areas. Research opportunities exists for the development of computational methodologies (numerical methods and associated
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approaches; methods to mitigate these effects; modeling of wave propagation and scattering in urban and/or natural complex environments; environmental remote sensing; target remote sensing that incorporates
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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