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computing continues to surge, the steady upscaling of quantum hardware (now reaching thousands of qubits) has resulted in increasingly sophisticated quantum software pipelines. Given the strategic use of
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synchrotron (DESY, Hamburg) – and gaining in-depth expertise in probabilistic machine learning, data assimilation, scientific computing and the analysis of electrochemical interphases. The core focus of the
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, practical experience with radiation detectors, detector electronics, or data-acquisition systems, theoretical modelling in nuclear physics, scientific computing involving large datasets from
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, uncertainty quantification, statistical modelling, and Gaussian processes, machine learning for time series, sequence-to-sequence models or surrogate modelling, scientific computing, large datasets