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independently to our research. We mostly work at the intersection of top-down (e.g., knowledge representation and reasoning) and bottom-up (e.g., machine learning) methods to study the representation
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, cooperative systems, data mining and machine learning, education, didactics and entertainment computing, or Neuroinformatics. Across faculties, renowned researchers in the social sciences, philosophy, and
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standards Basic understanding of Machine Learning and AI concepts, such as NLP, LLMs, and vector databases Ability to work in a team, flexibility and commitment Very good knowledge of written and spoken in
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machines. The components are examined experimentally in the test laboratory after production. The project consortia consist of a multidisciplinary team with experts from different universities and industrial
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scientists, research, teaching, and learning dedicated to the advancement of science and technology have been conducted here for more than 200 years, guided by the motto "Technology for People". As a driver of
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Experience in electroencephalogram and electrospinogram, other biosignals Experience in biosignal processing Experience in nerve stimulation Knowlege in machine learning Very good written and spoken English
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engineering, data science, or related fields Strong programming skills (especially in Python), and experience with simulation, modelling, data analysis, machine learning, and hardware control Solid
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around 7,500 work in research and teaching. They want to do research and teach at a place that suits their ideas and work together towards answering the big questions of the future. You also appreciate
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on your dissertation and its completion and on possible other publications (articles, contributions). You will supervise students. You will independently teach courses within the scope of the collective
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on your dissertation and its completion and on possible other publications (articles, contributions). You will supervise students. You will independently teach courses within the scope of the collective