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and automata, and the interaction between formal methods and artificial intelligence. We welcome candidates interested in topics ranging from foundational theory to the development and evaluation
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Neuromorphic computing is emerging as a key technology for future energy-efficient artificial intelligence. At Peter Grünberg Institute- Semiconductor Nanoelectronics (PGI-9) , we develop innovative
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, or comparable subjects • Experience in machine learning (ML), artificial intelligence (AI) or related fields • Software skills in ML languages such as Python • Ability and enthusiasm to learn new
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