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dynamics, methods to describe the electronic continuum, multireference electronic structure, tensor network states. Available computational resources include two shared clusters at Merced, computing nodes
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at the intersection of scientific computing and machine learning. At a high level, the project is to build neural network models of potentials that appear in Hamiltonians for time-dependent quantum systems. The postdoc
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on developing computational methods for designing and interpreting pooled high-throughput experiments. The work will be done in close collaboration with a larger team that integrates computational and
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qualifications Must have a PhD in thermal science and engineering, or related field, and experience in the thermometry and modeling. Must have strong written and verbal communication skills. Preferred
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working on these projects. Qualifications Basic qualifications Must have a PhD in thermal science and engineering, or related field, and research experience in phase-change heat transfer. Strong written