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-, and thermochromic molecular switches, and investigate how their interactions can be engineered to produce quantifiable memory and learning behaviors. PhD position in the development of life-like
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advanced machine-learning and AI methods for complex engineering and industrial systems, with a particular focus on improving their reliability, availability, and operational performance while
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improve high-throughput experimental workflows including closed-loop thin-film optimization Apply AI and Machine Learning for data analysis and modelling Develop, improve and implement HW/SW concepts
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