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algorithm performance under real-life operational conditions, ensuring accuracy and efficiency, and identify ways of improving performance. Collaborate with a multidisciplinary team of marine
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programming, for example in Python and common machine-learning frameworks such as PyTorch or TensorFlow, and be motivated to combine theoretical work with algorithm development and experimental
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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