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to integrate multiple data sources through machine learning and regression modeling to predict post-fire landscape attributes from field-based and remotely sensed vegetation and fuel structure metrics
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. Along the way, you will engage in activities and research in several areas. Learning activities will focus on: The development and characterization of animal models and/or microphysiological systems
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inform high-level policy discussions, strategic briefings, and collaboration with international partners. To learn more about the Office of International Affairs here . Learning Objectives Through
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there are also opportunities within facility operations, project management, and other mission support functions. To learn more about ongoing projects, you may visit the NETL website and browse news, core
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operations, project management, and other mission support functions. To learn more about ongoing projects, you may visit the NETL website and browse news, core competencies, and more. NETL’s core competencies
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results, and collaborations. The Fellow will also have opportunity to engage with project collaborators to develop and enhance their network of subject matter experts. Outreach may include travel. Learning
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stakeholders, and collaborate with other scientists, other ORISE fellows, Hub leadership, and partners to determine potential solutions and pathways for optimizing productivity. Learning Objectives: The Fellow
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resilience and energy-savings. Learning Objectives: The Fellow will build skills in: Building relationships with stakeholders Tool generation for producers and technical exerts Creating educational materials
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, identify tasks, and establish responsibilities; (b) Participate in team meeting discussions and present research results; (c) Use/learn establish research techniques, like optical microscopy, electron
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, topological data analysis, and machine learning to understand data relationships generated by either our simulations or from experimentally acquired neuroimaging data. Applicants should have a strong