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the development of system-level digital-twin and optimization methodologies—integrating electrolyzer models with renewable generation, power electronic conversion, energy and hydrogen storage, downstream processes
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system-level optimization and energy-management methods for coordinating electrolyzers with renewable generation, power conversion, storage, downstream processes, and hydrogen demand. Apply and evaluate
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 10 hours ago
. Description: We are seeking a postdoctoral researcher specializing in silicon detector characterization and optimization for high-performance space imaging applications. The successful candidate will focus
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optimization of electrolysis from the cell to the stack requires automated monitoring, analysis, and control of the operating parameters and processes. As part of this project, high-throughput experimental
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postdoc, you will contribute to research and teaching within advanced modelling, optimization and design of composite and lightweight structures for applications such as wind turbine blades. Your work tasks
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nitrocellulose (NC). I projektet analyserar vi nitreringsprocessen och delprocesserna för att återvinna och återanvända syror, tvättvatten och lösningsmedel In the project we analyse the nitration process and sub
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than 18,500 people, including over 14,000 students and 4,000 researchers from more than 120 different countries. Postdoctoral position in microfluidic RNAseq-based screening for optimal T-cell expansion
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National Energy Technology Laboratory (NETL) | Pittsburgh, Pennsylvania | United States | about 8 hours ago
the National Energy Technology Laboratory (NETL) in the area of Intelligent Document Processing under the mentorship of Greg Lackey. This project will be hosted at the NETL Pittsburgh, PA campus. The National
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Classification Title: Postdoctoral Scholar in Natural Language Processing and Mammalian Evolution Classification Minimum Requirements: Ph.D. in natural language processing, computer science, data
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Join TU Delft to uncover the biology of cellular robustness in an industrial yeast process and translate your discoveries into innovative genome engineering strategies. Job description You will join