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nanoindentation, for generating their own data sets Your Profile: A completed university degree (Master or equivalent) with excellent grades in the field of data science, material science, mechanical engineering
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with MoniRail Ltd and Durham University. The primary focus will be on designing and implementing deep learning and anomaly detection algorithms to analyse large-scale, real-world sensor data collected
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part of Helmholtz networks, e.g., HIRSE; https://www.helmholtz-hirse.de and internationally Your Profile: University degree (Master, Diploma) in natural sciences, computer science or engineering PhD in
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and Durham University. The primary focus will be on designing and implementing deep learning and anomaly detection algorithms to analyse large-scale, real-world sensor data collected from in-service