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techniques. These surrogates will be tuned for rapid, uncertainty‑aware predictions and integrated into decision‑support tools for deep geological repositories of nuclear waste—one of the most pressing
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and data analytics (including machine learning and deep learning); from high-performance computing to high-performance analytics; from data integration to data-related topics such as uncertainty
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uncertainty characterisations for mass balance estimates from satellite altimetry applying the results in comparative studies and combination studies with complementary methods such as satellite gravimetry
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determination of time series of 3D bedrock displacement and, subsequently, of displacement rates thorough characterization of uncertainty measures, especially of displacement rates close cooperation with the PhD
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support reduction in model uncertainties associated with the estimates of the full N budget at the European continental scale and improve knowledge on the mechanisms governing N translocation publication