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tools for spacecraft applications, specifically leveraging topology optimization and lattice structures. Building upon prior work at JPL, including the open-source lattice design tool UnitcellHub and an
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among climate models and representative concentration pathways (e.g. emissions scenarios). Objective 3: Identify site-specific optimal vegetation treatments for minimizing extreme fire behavior
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areas. These include, but are not limited to: Developing, optimizing, and implementing multiple In Vitro lung models to evaluate the compounds that cannot be assessed using traditional animal models
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enhance catalyst material discovery, optimize experimental protocols, and improve computational atomistic simulations. The project is aimed at efforts to convert waste methane into value added chemicals
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an AI/ML database and modeling effort to enhance catalyst material discovery, optimize experimental protocols, and improve computational atomistic simulations. The project is aimed at efforts to convert
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neural network to extract grammar rules for constructing and modifying molecular graphs, enabling the design of novel polymers optimized for specific Arctic and Space applications. This project will lead
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wildland-urban interfaces— across a wide range of climate conditions. Using machine learning methods, we will optimize the weightings of each contributing factor and identify the key drivers of wildfire risk
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support your academic and professional goals. Along the way, you will engage in activities and research in several areas. These include, but are not limited to: Optimizing a method known as the
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of their service lives), statistics, emerging data science tools and techniques A demonstrated ability to use a statistical programming language such as R or Python for non-linear data fitting, and optimization
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business and technical requirements and deliver e-commerce and e-Government products and services to internal and external audiences. Provide Internet services that optimize customer experiences and ensure