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energy-innovation technologies. Applying catalysis and reaction-engineering approaches, the role targets low-carbon fuel pathways—such as hydrogen, ammonia, synthetic and electro-fuels, sustainable
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artificial intelligence (AI) methods that propose, prioritize, and interpret experiments, accelerating the discovery and optimization of catalytic materials for energy and sustainability applications
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. The research focus is on developing and applying first-principles-based and data-driven computational methods to understand multiscale processes and accelerate chemical discoveries for renewable energy
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discoveries for renewable energy, biomedicine, and other areas of societal importance. Specific projects may involve developing multiscale simulation methods for quantum mechanical properties of macromolecules
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discoveries for renewable energy, biomedicine, and other areas of societal importance. Specific projects may involve developing multiscale simulation methods for quantum mechanical properties of macromolecules
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simulations. Minimum Qualifications Ph.D. in mechanical engineering, chemical engineering, materials science, or a closely related field, with 0–3 years of relevant research experience in battery systems
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. The research focus will be on developing and applying first-principles-based and data-driven computational methods to understand multiscale processes and to accelerate chemical discoveries for renewable energy
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following areas: high-mobility materials based printed electronics, transient electronics (various sensors, circuits, energy devices etc.), degradable materials, micro/nanofabrication, nanowire synthesis