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will contribute broad scientific and technical expertise to projects across the laboratory and help establish, optimize and maintain experimental methods and workflows. An important part of the position
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connection with uncertainty or data science. Specific fields of interest include, but are not limited to, stochastic partial differential equations, optimal transport, gradient flows, uncertainty
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-efficient and uncertainty-aware modeling, enhanced sampling, and statistical thermodynamics. Research will address property prediction and optimization as well as applications to chemical reactions
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design using a customized optimization loop embracing a spectroscopic quest that allows challenging to-date tangible limits of materials science accessing their application potential in optoelectronics