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neurons, each forming connections with approximately 7,000 others. Understanding and mapping these connections is a monumental challenge that requires imaging entire organs at extremely high resolutions
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for next-generation high-voltage, high-energy electrochemical energy storage intended for electric vehicle applications. The project focuses on the design and synthesis of novel electrolyte materials
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evaluate distribution networks in OpenDSS; investigate feeder- and system-level impacts of DERs (e.g., load flow, hosting capacity, voltage regulation). Develop and refine T&D co-simulation platforms (e.g
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automation, high-throughput data acquisition, and real-time data processing, offering a unique opportunity to advance S/TEM capabilities, publish impactful research, and collaborate with a diverse group of
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methods that aim to transform scientific discovery and leverage high-performance computing. Specifically, this will include research in : 1. Developing large-scale agent-based and other complex systems
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(LOHCs) Perform detailed studies to understand reaction mechanisms, determine reaction kinetics, and measure the heat of adsorption of LOHCs in porous materials Collaborate with multidisciplinary teams
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contributions in: Building novel generative models for predicting genome-scale evolutionary patterns using GenSLMs Developing scalable models that can, when integrated with high throughput molecular dynamics
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, especially XAS and other X-ray spectroscopy techniques, nuclear magnetic resonance spectroscopy, infrared and ultraviolet spectroscopy, as well as experience with high resolution STEM imaging Excellent written
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resonance spectroscopy, infrared and ultraviolet spectroscopy, as well as experience with high resolution STEM imaging Excellent written and oral communication skills Requirements: Recent or soon-to-be
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-based high-resolution surface-sensitive methods. In addition, working with the APS staff scientists, the successful candidate will demonstrate the applications to probe surface and interface nanomaterials