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stability investigations using simplified test systems, such as a Single Machine Infinite Bus (SMIB) system Identification of mechanisms leading to poorly damped or unstable oscillations Comparison and
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of machine learning approaches. Defining standards and databases for experimental protocols and biosystem designs will be of critical importance for the establishment of the Munich Repository of Standardized
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contribute Completed an excellent doctorate in computer science Proven track record of excellent publications Expertise in cryptography and/or machine learning Leadership capabilities and ability to mentor
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-agent systems and distributed robotics Enjoy programming and are eager to acquire new knowledge You bring scientific curiosity and a desire for academic discussion and exchange Good German and English
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and C++ Familiar with ROS2 Interest in teleoperation and human-robot interaction Enjoy programming and are eager to acquire new knowledge You bring scientific curiosity and a desire for academic
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concepts about biological processes, advance information technologies and human-machine interactions and, last but not least, provide new insight for designing efficient strategies for teaching and learning
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related discipline. • Strong expertise in machine learning, spiking neural networks, and computer architecture. • Excellent programming and research skills. • Interest in translational research and
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complement the research profile of the KIT-Department of Mathematics, teach undergraduate and graduate courses in Mathematics, supervise Bachelor's, Master's and doctoral theses and support the development
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research excellence and the ability to pursue a doctoral degree at TUM Documented experience in machine learning and/or natural language processing with deep knowledge of LLMs, RAG and agent-based AI systems
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systems in a targeted manner. An important aspect of this effort is the accurate organization, harmonization, and exchange of research data that will fuel the application of machine learning approaches