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significantly slows down the development of new desirable nanostructures. In this project, we will combine numerical models, experiments, and artificial intelligence (AI) to guide the design of specific DNA
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humanities, media informatics, design science, media design, data science, and human and artificial intelligence. Practical and application-oriented qualifications and knowledge are advantageous but not
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data to answer relevant questions and solve real-world problems. It brings together fundamental, methodologically driven research in optimization, machine learning, and artificial intelligence with
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for safety-critical applications or those requiring trust in the model. The field of Explainable Artificial Intelligence (XAI) addresses this by providing methods to make model behavior more interpretable
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for various technologies and develop algorithms and software tools dedicated to accelerating research on multiple levels. We are working at the intersection of computer science, physics, and material science to
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of robotics, artificial intelligence and perception. Its three central innovation sectors are the future of health, the future of work, the future of environment, and the future of mobility. More than 50