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interactive system design, serious games, or real-time human-machine interfaces. Experience with AI methods such as generative models, reinforcement learning, online/adaptive learning, or uncertainty
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propulsion system performance, including hybrid-electric configurations, and associated flight envelope limits. Gaining experience in the evaluation of aircraft mission performance using modeling and
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strong advantage It is an advantage to be knowledgeable in non-AI statistics and mathematical modeling It is an advantage if the applicant has developed working systems, prototypes, or emulators It is an
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-machine interfaces. Experience with AI methods such as generative models, reinforcement learning, online/adaptive learning, or uncertainty quantification. Research experience in rehabilitation engineering
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analysis (FEA) methods and tools • Experience programming with C++ • Experience using numerical methods, including linear algebra, for structural modeling Overtime Status Exempt: Not eligible for overtime
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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 18 hours ago
team science model Collaborative approach to research and training Initiative, independence, and integrity Ability to work on sensitive subject matter in a mature manner Departmental Preferred Experience
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. This position will contribute to exciting projects involving multi-electrode array recordings in behaving animals, using techniques including electrophysiology, psychophysics, computational modelling and advanced