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-term EEG recording Preparing routine drug solutions Analyzing in-depth EEG data Interpreting immunohistochemically prepared slides for neuroinflammatory markers Describing and documenting methods and
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existing skill set. This project will present an exciting opportunity to deepen your knowledge of polymer science & expand your knowledge in applying computational methods to real-world materials challenges
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prevention activities across the individual, interpersonal, and organizational levels of the social ecology Understanding and/or experience in qualitative, quantitative and mixed method analyses for public
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Organization DEVCOM Army Research Laboratory Reference Code ARL-C-CISD-1780409609 Description About the Research Our goal is to develop improved optical methods for characterizing and understanding
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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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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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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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of the atmosphere, particularly, estimation of the Green’s function using time reversal and/or similar inverse techniques. Theoretical and experimental approaches are needed. (3) Long range acoustic propagation in
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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