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objective will be the development and application of a digital twin approach, aimed at bridging the gap between theoretical predictions, data interpretation, and experimental/spectroscopic observations. What
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Required: Ph.D. (or equivalent) in physics or a closely related field. Strong communication skills and the ability to contribute effectively to large-scale software projects. Proven capability to conduct
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machine-learning or data analysis to massive datasets, scientists today rely on advances in and integration across applied mathematics, computer science, and computational science, as well as large-scale
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top-tier research team unlocking solutions to the scarcity of essential materials for next-generation energy and information technologies. You will use state-of-the-art computational tools based