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components to automate experiments and enable autonomous experiments The focus of this position is to use advanced PVD processes to develop state-of-the art thin films, such as piezoelectric and ferroelectric
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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 and components to automate
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with other 2D and 3D techniques such as H&E and LSFM. The work will be done in close cooperation and synergy with an already running PhD project. Partly existing database will be used and extended
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-matter interactions, development of automated AI/ML systems for novel materials processing and quality insurance. The lab combines additive manufacturing, large scale laser micro-processing, multiscale