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National Energy Technology Laboratory (NETL) | Morgantown, West Virginia | United States | about 1 month ago
you for multiple applications in Zintellect, they must click the unique link in each email request, but will be given the opportunity to copy over what they had previously submitted. All documents must
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, solid state transformer, DC/DC converters, inverters, etc. Experience in modeling and stability analysis Experience in hardware development or real-time simulation. Awareness of diversity and equal
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. If this hypothesis will be confirmed, it would mean that several independent baselines should be included in the isotope flux models, even for a single ecosystem. The geological actualism approach in this project is
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. Ideal candidates should possess a strong background and experience in computational modeling of solid-solid, liquid-solid, and gas-solid interfaces using first principles methods, classical force fields
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to [email protected] Responsibilities Qualifications: Independently plan, design, and conduct experiments using cellular and rodent models to investigate molecular mechanisms of metabolic and mitochondrial
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | 19 days ago
assimilation Integration (JEDI) framework for atmospheric data assimilation Develop machine learning foundation models based on simulated observations from high fidelity atmospheric simulations for developing
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performance through iterative design-test-feedback cycles. Participate in the design and simulation of photonic devices and integrated circuits using state-of-the-art modeling tools. Support the development
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random access memories. This project aims to develop models of the magnetisation switching process that can explain experimental results provided by collaborators. As such the position will involve
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to develop novel AI and machine-learning methods for accelerated materials discovery. The focus is on combining generative AI, active learning, first-principles simulations, and machine-learning potentials
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goals. Our other research directions of interest include privacy of AI models trained on health data as well as training AI models on health data across national borders. Key responsibilities Design