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Your Job: The electrocatalytic interface engineering department led by Prof. Dr.-Ing. Simon Thiele focuses on synthesis, manufacturing, analysis and simulation of functional materials to find
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to the FAIR-ification of data, establishing systematic data collection and metadata extraction protocols to enhance machine learning-based software applications for materials science. Your Profile: Master’s
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for self-supervised learning in science Engage in national and international ML/DL communities, most importantly the Helmholtz Foundation Model Initiative Present research results at scientific meeting
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preparation Deriving insights for film and device fabrication based on the above described workflow Your Profile: Masters degree in physics, materials science, physical chemistry, electrical engineering and
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the field of energy engineering, optimization, climate change, and climate change adaptation. Software development, particularly in Python will constitute a significant portion of your work. Upon completion
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in physics, physical chemistry, chemical engineering, or related field Knowledge and competences in physical theory and modelling Experience and interest in computer programming Basic knowledge
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, chemistry, material science, chemical engineering or related disciplines Experience in the field of energy storage Knowledge of X-ray methods Experience with programming languages (ideally Python) Fluent in
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of quantum physics and interest in quantum technology Strong mathematical education, in particular, in relation to linear algebra Strong programming experience Ability to effectively communicate in written and
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and Ornamental Crops, the University of Bayreuth, the Technical University of Munich, and the Czech Academy of Sciences. The TeAM-uP project will investigate the effects of arbuscular mycorrhizal fungi
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Geißelbrecht, our department researches and develops a wide range of topics related to chemical hydrogen storage along the entire process chain. In particular, issues in the field of the LOHC technology are