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This research involves conducting fundamental and applied research in the field of Robotics and Autonomous Systems (RAS) and Artificial Intelligence/Machine Learning (AI/ML). The fellowship position is based
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to power systems modeling and physics-informed neural networks. This research requires hands-on knowledge in science and engineering across a range of data analytics topics, as well as the ability
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researchers engaged in a Defense Health Agency project on spatial orientation modeling and disorientation mitigation. The research fellow will participate in generating a report for the Spatial Orientation
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to power systems modeling and physics-informed neural networks. This research requires hands-on knowledge in science and engineering across a range of data analytics topics, as well as the ability
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research in several areas. Learning activities will focus on: The development and characterization of animal models and/or microphysiological systems for viral agents. Emphasis is placed on determining
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updates in a landscape evaluation toolkit, which include new models for listed and sensitive species. These models can inform managers during planning on how to improve forest health and reduce adverse
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research-operational partnerships and learning about systems involving forest fuels and fire emissions modeling. They will gain experience with modeling, coding, and database management in support of a
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School (NPS) Center for Infrastructure Defense (CID) leads research that supports the continued operation of critical military and civilian infrastructure systems in the presence of failure, natural
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publication list Two educational or professional recommendations. At least one recommendation must be submitted in order for the mentor to view your application. All documents must be in English or include
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of innovative technology solutions. Assignments will require technical and economic research involving data analysis, regulatory analysis, and modeling. You will learn by assisting with producing this research