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    • Stefanie Jegelka

      The fundamental research conducted by computer scientist Stefanie Jegelka has led to a better understanding and optimisation of graph neural networks (GNNs) and made her name. In Munich, she is called upon to drive our theoretical understanding of machine learning and develop algorithms as well as trustworthy machine learning tools.

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      Stefanie Jegelka
    • Stefanie Petermichl

      Alexander von Humboldt Professorship 2019 Stefanie Petermichl Under Stefanie Petermichel's leadership as a Humboldt Professor, an interdisciplinary mathematics research centre is to be established at

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      Stefanie Petermichl
    • Stephan Hartmann

      Alexander von Humboldt Professorship 2013 Stephan Hartmann Stephan Hartmann is one of the world’s leading academics in formal epistemology and the philosophy of science. Nominating University: LMU Mun

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      Stephan Hartmann
    • Stuart S. P. Parkin

      Alexander von Humboldt Professorship 2014 Stuart S. P. Parkin Stuart Parkin has an international reputation as an outstanding, innovative solid state physicist who knows how to transpose theoretical d

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      Stuart S. P. Parkin