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within the digital twin environment Developing deep learning architectures for time-series forecasting, anomaly detection, and predictive maintenance of the physical asset Designing and training Physics
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to develop methods for field-sequencing and real-time identification of unknown pathogens. Applied Synthetic Biology: You will learn how to translate biological requirements into project-specific digital tools
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into project-specific digital tools, gaining exposure to cutting-edge research in CRISPR/Cas technologies, and molecular engineering. Professional Development: You will learn how to collaborate within a
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advanced digital manufacturing processes in support of the Army Modernization Priorities (https://www.army.mil/ standto/2018-01-16). Advances in additive and digital manufacturing create new sets
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information on ARL, please see the website, http://www.arl.army.mil/www/ default.cfm . For immediate response reply with your resume and research interests. Additional application instruction are listed below