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Qualifications •Ph.D. in Chemistry, Chemical Engineering, Materials Science, Physics, Computer Science, or a related field. PhD must be awarded no more than four years prior to the effective date of appointment
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systems. • Develop and implement predictive models for packaging performance using machine learning approaches and physics-based simulations. • Investigate logistics optimization strategies for packaging
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computational approaches, with emphasis on physics-informed or mechanics-informed modeling. • Experience with the manufacture of and testing of thermally modified wood properties Overtime Status Exempt: Not
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for construction operations. The successful candidate will contribute to cutting-edge research in mixed reality (MR)-based simulation platforms, machine learning-based process optimization, and human-machine
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and optimization of measurement-based quantum computing protocols for quantum simulation of quantum many-body models. Preference will be given to candidates familiar with the stabilizer formalism and