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Field
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studies within the hydrogen research hub (HI-ACT) funded by EPSRC. The project seeks to deliver industry-relevant tools that enable optimal design and operation of hydrogen technologies in real-world
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National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | 1 day 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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ore quality and optimize operational decisions. 2. Key Responsibilities The selected candidate will be responsible for: Analyzing mining extraction processes and their interaction with the new washing
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research project aiming to design, optimize, and evaluate electrochemical systems [electrodialysis with bipolar membranes (BMED] for sustainable desalination brine treatment, at the crossroads
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our team at DTU Compute, offering a fully funded position within a dynamic and interdisciplinary research environment. The positions are part of the research project “AI-driven materials optimization
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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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. ● Method Development: Develop and optimize analytical protocols for the detection of emerging contaminants, including both target and non-target analyses using LC-MS/MS, LC-HRMS, and GC-MS/MS
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Iterative Algorithms: Optimization and Control.” About the Project The focus of the project is the analysis of iterative algorithms arising from time discretizations of nonlinear evolutions of various kinds
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reactive chemical group(s), and purifying and fully characterizing the final compounds. Additional tasks include the elaboration and optimization of the conditions necessary for the effective and controlled
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multiplex and multilayer networks alongside with the observed links in order to predict or reconstruct the missing links. The first step is to explore different optimization methods using low rank tensor