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both the Institute and AFRL, advancing the science of innovation through research, collaboration, and workforce development. The initial fiscal year appointment is for one year with the possibility
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nuclear and particle physics research leveraging machine learning and AI for data analysis and detector development, as well as exploratory work in quantum algorithms, depending on background and interests
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, or artificial intelligence based approaches) and the development of sustainable pest management technologies. The successful candidate will become an integral member of the Center for Urban and Industrial Pest
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