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of traumatic extremity injuries and amputations with a specific focus on translating their findings into clinical practice to improve the care of injured Service Members and Veterans. To learn more, visit: https
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tolerance for varietal selection. Learning Objectives: Participant will gain laboratory, field, and programming skills to develop the digital twin and other AI models using ground and above-ground sensors and
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portfolio provides participants the chance to develop new research skills and build professional networks. Most, but not all, of this research is conducted in either BSL-3 or BSL-4 high containment
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the University of Pennsylvania Center for Excellence in Influenza Research and Response (CEIRR) as part of the NIH NIAID CEIRR collaborative network (https://www.ceirr-network.org/centers/penn-ceirr
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addition to modern research technologies and techniques. This experience will also focus on personal career development in the areas of STEM, providing opportunities to collaborate and network with other students
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levels at harvest, we aim to develop predictive models, powered by deep neural networks, that can detect early signs of fungal infection and evaluate mitigation strategies such as soil amendments
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journals relevant to the field, as well as communicate with research networks within the scientific community. Learning Objectives: As a result of this training, the participant will gain knowledge and