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experience in optimization methods and applied energy system modeling, particularly macro-scale energy systems; familiarity with algebraic modeling languages used for linear and mixed integer programming (e.g
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on the coupled thermodynamic, kinetic, and transport processes taking place in the cell. In addition, the successful applicant may contribute to the design of experiments for parameterization of material-level
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transient mathematical models for cell charge and discharge, based on the coupled thermodynamic, kinetic, and transport processes taking place in the cell. In addition, the successful applicant may contribute
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of linear algebra and numerical optimization Understanding of statistical modeling and inverse problems is desirable Experience with programming languages like Python, MATLAB, or C++ Joy in dealing with
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optimisation, distributed-parallel-GPU optimisation (e.g. pagmo2), Taylor-based numerical integration of ODEs (e.g. heyoka), differential algebra and high order automated differentiation (audi), quantum