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research position (65%) with focus on automated text analysis and computational social science staring between June – September 2024. The position is based in the Department of Governance in TUM School
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assistance Desirable: - studies in sociology, political science or a related social science discipline - English proficiency (level C1) - knowledge of quantitative methods, empirical social research, in
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development of social spaces. The Faculty of Architecture, Civil Engineering and Urban Planning invites applications in a joint appointment procedure with the Leibniz Institute for Spatial Social Research (IRS
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transdisciplinary exploration, encompassing computer sciences, natural and life science, and social sciences, as well as health, economics, law, and the humanities. We aim to deepen our understanding of complex
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Max Planck Institute for Plant Breeding Research | Gronau Westfalen, Nordrhein Westfalen | Germany | 7 days ago
seeking an outstanding scientist to head a department and establish a world-leading research program in pioneering science in plant cell biology and related areas. We seek individuals with an international
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concepts and system integration technologies and transfers them into practical use. Fraunhofer ENAS accompanies customer projects from the idea to the design, technology development or implementation using
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for mechanical engineering, the automotive industry and related sectors. We develop intelligent products, production systems, services and software applications. In the Digital Transformation department, we work
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highly complex robot systems What you bring to the table Full-time studies with good grades at a German university or college in the following fields: electrical engineering, communications engineering
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components in order to save costly and time-consuming tests. In order to assess the operational behavior of these fiber composite materials, the corresponding structure-property relationships are examined and
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science, electrical engineering, information technology, physics, computer science, mathematics or mechanical engineering strong background in the fields of machine learning and reinforcement learning very