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combine large-scale data, computational methods, and clearly articulated social-science theories to improve our understanding of society. Recent advances in machine learning, natural language processing
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combine large-scale data, computational methods, and clearly articulated social-science theories to improve our understanding of society. Recent advances in machine learning, natural language processing
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application! Work assignments Subject area: Computational studies of the influence of microstructural features on the structural integrity of metallic materials using machine learning Subject area description
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and organic solar cell devices. There will also be the opportunity to gain hands-on research supervision experience through the mentoring of PhD students, as well as formulating research projects
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application! Work assignments Our research projects focus on distributed sensing, hardware-efficient signal processing, robustness and resilience, and communication-efficient decentralized machine learning
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cell reactors. A post-doc takes an active part in shaping and correcting the research direction together with the supervisors. Various tasks assigned to the post-doc include continuous learning and
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, data-driven modeling, learning control, optimization, and sensor fusion. The division has extensive collaborations both with industry and other research groups around the world. The employment