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the use of machine learning methods to process complex data sets. The focus is on techniques such as ultrasound, radar, computed tomography, acoustic emission analysis, and infrared thermography
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an interdisciplinary career skills programme across Europe. The Technical University of Munich (TUM) is one of the best universities in Europe. It is characterised by excellence in research and teaching
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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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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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academic assignments at the chair What we look for in you Completed master’s degree in computer science, transportation, or related engineering fields Solid background in generative AI, machine learning, and
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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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accessible to users from science and industry Your qualifications: ■ Master’s or equivalent graduate degree in computer science, artificial intelligence, machine learning, mathematics, statistics, data science
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leading international journals and conferences • Literature research • Scientific publishing Your qualifications: • Completed academic university degree (university diploma / M.Sc.) in Computer
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conferences and workshops, and supporting the team in preparing grant applications. You will also be expected to contribute to teaching in our master's program and assist in supervising bachelor's and master's
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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