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of AI. The ideal candidates will have a background in computer science, statistics, mathematics, or related fields, as well as an interest in social science research methods and theories. The PhD
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the courses Advanced Mathematics 1–2 and/or Statistics at the TUM Campus Straubing. Your profile: Above average master’s degree in mathematics or (theoretical) computer science with a focus on discrete
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the testing of newly devel-oped materials and the use of machine learning methods to process complex data sets. The focus is on techniques such as ultrasound, radar, computed tomography, acoustic emission
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will usually be limited to two courses per year plus mentoring of student theses. A strong interest in an academic career is welcome. We offer a dynamic and international work environment, with a
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at young adults. In addition, they will be supported in shaping the direction of their own research. The doctoral scholar will be part of a dynamic international team at the Institute for Ethics and History
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information processors and how nuclei dynamics coordinate solving complex tasks. To this end you will perform fluorescence microscopy on nuclei populations and quantify their dynamics while challenging Physarum
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uncertainty from environment perception and your own state estimation, and then integrating it into a newly developed trajectory and behavior planner. The goal is to enable safe, reliable and highly dynamic
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immunology and eager to work on a dynamic project, we encourage you to apply. Contact: Prof. Dr. Marc Schmidt-Supprian marc.supprian@tum.de Tel.: 089-4140-4104 Klinikum rechts der Isar Technische Universität
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from a university with a focus on aerospace, physics, or related fields • Very good and fundamental knowledge in the areas of theoretical fluid mechanics and structural mechanics, as well as aero-thermal
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discipline. You have experimental experience in soft matter, fluid physics, biological physics or a related discipline. You enjoy working in interdisciplinary and international teams and have basic programming