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computing, with a particular emphasis on methods tailored to study nonequilibrium quantum many-body systems. The position offers an exciting opportunity to contribute to cutting-edge research at the
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-network surrogate models, physics-informed neural networks, uncertainty quantification, or digital-twin development. High-performance computing and parallel numerical workflows. Terms of Appointment
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reliable, efficient, and responsive to project and stakeholder needs. In parallel, the candidate will provide behavioral, communications and social science research support for strategic healthcare AI
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Experience with FORTRAN, C/C++, and parallel computing. Experience in theoretical/computational studies of material microstructure evolution involving microelasticity and/or plasticity effects. Experience with
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Experience with FORTRAN, C/C++, and parallel computing. Experience in theoretical/computational studies of material microstructure evolution involving microelasticity and/or plasticity effects. Experience with