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for an enthusiastic researcher who is quick to grasp new concepts and ideas and can solve complex problems with high-quality software solutions. You will work with machine learning, HPC, and domain science experts and
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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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HYDRUS and MODFLOW Your Profile: MSc degree in hydrology, environmental sciences, environmental engineering, or similar subjects Knowledge of modelling techniques and ideally of land surface models
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to conduct research at the interface of theory and experiment in a world-leading group in quantum technology Work in a highly motivated research group as part of an international and interdisciplinary working
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engineering, computer engineering, computer science, or related fields Background in device physics and analog or mixed-signal circuit designs Strong skill in mixed-signal circuit designs (active filter
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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
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in working closely with experimentalists Detailed knowledge of quantum physics and experience with quantum technology Strong mathematical education, in particular in relation to linear algebra Strong
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data Will work in the use case 5 of the FairAgro consortium (www.fairagro.de) and will develop in cooperation with other scientists of the consortium a novel data model for real world field phenotypic