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the company ONCONTROL, in cooperation with the UC. The fellowship will be involved in the execution of the following main objectives: - Optimization of the process digital twin - Development of a predictive
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. Your tasks: Development and comparison of data driven models for the prediction of stresses in arterial walls and plaque Enhancing the models with physics, i.e., using different physics-aware machine
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the company ONCONTROL, in cooperation with the UC. The fellowship will be involved in the execution of the following main objectives: - Development of a predictive maintenance solution for the process. V
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data sets, which have to be evaluated in order to obtain a holistic understanding of very complex systems. Visit HDS-LEE at: https://www.hds-lee.de/ The position is placed at the Institute for Advanced
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objectives: 1 – Development of a tool for identifying operating regimes using machine learning techniques. 2 – Development of a tool for identifying the causes of process eco-efficiency degradation using
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, as well as mandatory personal accident insurance. VI.III - Funding: The grant(s) assigned under this call will be funded by European Regional Development Fund (ERDF) through the Innovation and Digital
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European Regional Development Fund (ERDF) through the Innovation and Digital Transition Program (COMPETE 2030) of Portugal 2030| reference of operation no. 21346, operation COMPETE2030-FEDER-02219700
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relevant. The steps in the development of surrogate models are building data-driven models from medical imaging, extending them with physics-based approaches, and adapting existing physics-integrated neural