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and maintain equipment for measuring gas exchange, image and spectral data collection and analysis, and the effect of different turfgrass management options on its visual quality, sustainability and
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spectroradiometers. Ability to apply AI tools and machine learning for advanced image analysis, weed-crop detection, and mapping. Experience in data collection, processing, and interpretation. Strong background in
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Products. A current research project evaluates the role of microbes in texture losses of vegetables during processing and long-term storage. The selected candidate will participate in all aspects
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system. Hardware-in-the loop (HIL) is used to study prototype CASs, developmental control algorithms, and their ability to provide the required maneuvers throughout the flight envelope. Coupled CFD/RBD
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associated performance predictions will be established to represent the full potential of morphing technology given a fully custom design. The result will provide an experimentally characterized prototype
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development and implementation of EEG-based, passive brain-computer interfaces (BCIs) for optimization of human-machine teams, such as exoskeletons for physical augmentation in defense applications. The aim