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Postdoc position in modeling and analysis of cyber-physical systems At the Technical Faculty of IT and Design, Department of Computer Science, a full-time postdoc position in modeling and analysis
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computational determination of thermophysical and physical–chemical PFAS properties. PFAS molecules are defined by the presence of CF₂ or CF₃ groups and exhibit a wide range of unique characteristics, including
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decomposed into modular sub-components that can be either process-based models and/or deep learning models. MCL has the flexibility to replace any uncertain process description with a deep learning model