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Engineering, Computer Engineering, Computer Science, or a closely related field Strong background in robotics fundamentals: kinematics, dynamics, control, planning Proficiency in programming (C++, Python), and
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in their research topics. We offer a dynamic, multicultural, interdisciplinary, and highly collaborative research environment in Munich, one of the world's most livable cities. To support our mission
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of German preferred We offer: Excellent technical equipment, a wide range of experimental methods and a dynamic and interactive research environment Salary will be paid in accordance with TV-L, level 13
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Postdoctoral Academy for Research on Education PACE , inclusion in a dynamic team of motivated researchers passionate about education and giftedness. a salary in the pay scale “E13 TV-L”. Depending on your
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dynamic working environment of an internationally recognized research institution Flexible working hours – mobile working options – assistance with child care and care for family members („audit
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of fluid dynamic modeling and the analysis of thermomechanical stresses, you will accompany the entire development process – from the optimization of electrochemical performance to the elaboration
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Interaction and Computational Interaction. • Work in a dynamic, collaborative environment with leading experts. • Have access to state-of-the-art facilities and a stimulating research setting. • Participate in
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understanding and knowledge of climate dynamics. The candidate should have experience of statistical (multivariate) concepts and should be open to apply new and upcoming AI methods to analyze the climate
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independent work but demands a comprehensive understanding and knowledge of climate dynamics. The candidate should have experience of statistical (multivariate) concepts and should be open to apply new and
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, Computational Biology, Applied Mathematics or related field Interest in interdisciplinary research Applied experience with machine/deep learning methods Ability to handle multiple projects in a dynamic