4 condition-monitoring-machine-learning Postdoctoral positions at Empa in Switzerland
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Apply machine learning techniques for data analysis and time-series forecasting Collaborate in a multidisciplinary team to accelerate functional thin film development Your work will be part of a larger
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, Nanoscience, Quantum Science, Electronic Engineering, or a related field Strong background in solid-state physics, quantum magnetism, surface science under UHV conditions, or quantum nanoscience Experience in
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, Matlab, C++) for developing new simulation frameworks or image processing algorithms Experience in or willingness to learn independently operating additive manufacturing systems (DED and LPBF), including
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vivo relevant models for antimicrobial assessment to demonstrate the efficacy of the developed coatings under conditions closely simulating in vivo environment The work aims to advance the fundamental