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smectite, sepiolite, and layered double hydroxide. -Summarize the MD data to find the optimal mineralogy properties need to maximize the binding efficiencies of the minerals for the toxins. -Summarize
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programs to optimize efficiency and productivity. Perform Techno-Economic Analysis (TEA) of bioprocesses to evaluate their final product costs, process economics, and identify areas for improvement
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developing the technical basis for the first fusion nuclear facility and the position will involve several disciplines, with an intended focus on design, analysis, and optimization of fluid flows in tritium
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National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | about 6 hours ago
conditions is essential for designing more efficient TPS solutions (i.e., selecting optimal material systems, reducing design margins). Instrumentation, such as in-depth thermocouples and heat flux gauges, is
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research, creative activity and people positively impact the world. Like the city we call home, UB is distinguished by a culture of resilient optimism, resourceful thinking and pragmatic dreaming
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; You will participate in collaborations in materials optimization, device fabrication, and testing. Required Knowledge, Skills, and Abilities: You earned a Ph.D. in an appropriate discipline (Physics
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discriminate in its employment practices due to an applicants race, color, religion, sex, sexual orientation, gender identity, national origin and veteran or disability status. Minimum Qualifications PhD in
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applications. Develop and optimize electrode materials and architectures, including synthesis and/or surface modification, to improve electrode selectivity and stability. Collaborate with internal and external
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, to study novel renewable energy technologies. The candidates are expected to have a PhD degree in Chemical Engineering or related field, and have experience with optimization (theory, modeling, and tools
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. Analyzing the theoretical guarantees of these frameworks using tools from optimization, machine learning, and control theory. Developing simulation environments to test and benchmark the developed control