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continued development. Learning Objectives: You will gain a rich, hands-on professional development experience grounded in real-world application of artificial intelligence, workflow analysis, and federal
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to: Learning about aircraft systems engineering and systems analysis to support integrated design and performance assessment. Participating in aircraft design trade studies with a focus on propulsion–airframe
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, fostering the research necessary to maintain global competitiveness in innovative technologies. The learning objectives for this project are: • Developing innovative approaches that effectively convert REE/CM
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, topological data analysis, and machine learning to understand data relationships generated by either our simulations or from experimentally acquired neuroimaging data. Applicants should have a strong
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Analysis, Bioengineering, Computer Science, Electrical Engineering, Machine Learning, Mechanical Engineering, Neuroscience, Physiology, Probability and Statistics. The Associate must have an interest in
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their professional experience by learning and developing new nano-mechanical characterization techniques to probe material structure-property relationships at the nano-scale are encouraged to apply. Preferred
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, human-informed machine learning, human cognition and adaptive teaming to improve human-autonomy teaming for future Army teams. About ARL-RAP The Army Research Laboratory Research Associateship Program