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to join a multidisciplinary team working on the development of energy-efficient, fault-tolerant AI systems resilient to space radiation. This collaborative project spans multiple levels of research
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to work across disciplines, with an interest (or willingness to develop expertise) in areas such as machine learning, route planning algorithms, aircraft design and testing, and systems engineering. For a
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to join a multidisciplinary team working on the development of energy-efficient, fault-tolerant AI systems resilient to space radiation. This collaborative project spans multiple levels of research
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technological progress in our increasingly digital, data- and algorithm-driven world. Integreat develops theories, methods, models, and algorithms that integrate general and domainspecific knowledge with data
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real-time AI algorithms, data infrastructure management, surgical robotics, and human factors. Work collaboratively with clinical teams at multiple institutions to demonstrate the operation and
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of multiple geophysical datasets and interpretations, and the development of new concepts and methods to automate the processing of field data in near real-time to provide insights to wildland fire commanders
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life support system detailed in the research program. The project will include use of sensors, control algorithms, and computer simulations of clinical disease to inform development of an automated form
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challenges, encompassing both fundamental and applied research, from the development of algorithms, tools, and frameworks that advance scientific discovery to methodologies that utilise computational
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believe in being the difference in their work and community. We prioritize student success, access to education, and service in our work to educate well-rounded servant leaders who transform their fields
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, care deeply, and believe in being the difference in their work and community. We prioritize student success, access to education, and service in our work to educate well-rounded servant leaders who