502 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:" positions in Germany
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modeling approaches and artificial intelligence methods, particularly machine learning, is highly desirable. Application areas for these methods include theoretical spectroscopy, the prediction of reaction
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of geoscientists, biologists, and computer scientists at the Universities of Tübingen and Hohenheim and the Senckenberg Society for Nature Research in Frankfurt, investigating how the interactions between the living
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of the Konstanz Research School Chemical Biology (KoRS-CB), an interdisciplinary graduate school of the Departments of Biology, Chemistry and Computer & Information Science. Our doctoral researchers are supported
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for Astronomy in Germany. The StarForML group focuses on developing robust machine learning tools for the evaluation of star formation observations. We aim to gain new insights into how star formation progresses
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machines into the cellular context in space and time, how stress factors influence these processes, and how the cellular network enables their robust functioning. Research Focus 3 Microbes providing
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the open-field (field trials) experience in the statistical analysis of research results or willingness to acquire such using R or comparable programming language experience in creating and evaluating
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the art tool built upon the scientific machine learning environment (“SciML”) in the modern “Julia” programing language for high-performance symbolic-numeric computation in scientific computing and
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simulations and computer programming (e.g., Python and LabVIEW) • Developing back-of-the-envelope estimates for complex physical problems. Applications should be sent by e-mail, together with significant
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you join us? In the field of quantum technology, the institute is working on the realization of a quantum computer based on color centers in diamond. We use nitrogen-vacancy (NV) centers as qubits
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, proliferation, and evolution. To strengthen our expertise in bioinformatics and machine learning, we are offering a position for a highly motivated scientist with significant experience in bioinformatics, ideally