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, Applied Mathematics, or a closely related field, with a strong background in AI/ML technologies, including algorithm development, optimization, and data-driven modeling. Candidates are expected to
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theoretical work with algorithm development and experimental validation. We value curiosity, independence, and the ability to collaborate across disciplines in an international research environment spanning
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battery diagnostics; the resulting algorithm is targeted to be at least 25% more accurate than conventional impedance-based estimation and at least 50% less energy demanding than traditional
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