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Max Planck Institute for Intelligent Systems, Stuttgart site, Stuttgart | Stuttgart, Baden W rttemberg | Germany | 6 days ago
project Swarm robotics, multi-robot systems, active matter, programmable matter, and jamming-based systems all explore distributed robotic systems: robots composed of multiple bodies rather than single
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, equitable, trustworthy, and context-sensitive. Multi-agent architectures where multiple AI systems collaborate, negotiate, and adapt to model complex human learning processes and support group work
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of potentially novel modes of protein binding is possible in collaboration with other members of the lab. Desired (but not absolutely required) skills: programming in python, machine learning, and experience in
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language (e.g., Matlab, Python) experience with special populations (e.g., autism) would be an advantage but is not essential We offer: As one of eleven German universities of excellence, TUD offers
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university degree (diploma, master's degree) in transport or traffic flow or related study programs. Solid knowledge of at least one programming language, preferably Python, experience in model-based
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institutions from academia and industry in multiple research projects. What you will do Development & application of innovative algorithms in the field of machine learning, specifically with focus on decision
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institutions from academia and industry in multiple research projects. What you will do Development & application of innovative algorithms in the field of machine learning, specifically with focus on decision
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institutions from academia and industry in multiple research projects. What you will do Development & application of innovative algorithms in the field of machine learning, specifically with focus on decision
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molecular beam epitaxy (H-MBE). These materials are vital across multiple industrial sectors, including catalysis, electronics, energy storage, and optical technologies, due to their versatile and valuable
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in programming languages such as Python and C++. Goal is the development and integration of new and automated measurement capabilities for ultra-sensitive low-energy AMS. This includes extending and