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-quality publication record and international visibility in relevant academic communities Creating a strong competence base in modelling and assessing plausible pathways through which innovative climate
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the use of hierarchical graph neural networks for modeling multi-scale urban energy systems. By combining advances in Physics-Informed Machine Learning (PIML) and Graph Neural Networks (GNNs) with real
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welds. Modelling and simulation: development of a physics-based simulation framework (e.g., phase-field modelling) to predict hydrogen-assisted crack growth and long-term mechanical integrity of steels
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activation and micromechanical modeling Progressive damage modeling of reinforced FRPs Mechanical characterization and fracture experiments Complete a PhD thesis at ETHZ Your profile Highly motivated and
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of electron spectroscopy experiments Modelling of experimental data Your profile The position is immediately available for a candidate with a master's degree (or equivalent) preferably in physics, physical
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, technologies and systems. The ERAM group within TSL have great experience in SSbD, especially in combining different methods such as modeling mass flows analysis (MFA), Life cycle analysis (LCA) and semi
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Ph.D. Position in Organic Chemistry, Polymer Chemistry, and/or Sol–Gel Chemistry & Materials Science
, FTIR, NMR, thermal conductivity measurements Basic knowledge of molecular simulation or modelling (e.g., molecular dynamics, coarse-grained modelling, or structure–property simulations) is advantageous
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. Empa is a research institution of the ETH Domain. The Biointerfaces Laboratory is offering a Postdoc position focused on the development of in vitro simulation models for performance evaluation
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more cost-efficient. Together, UESL and IMOS are seeking a motivated and qualified PhD candidate to advance the use of hierarchical graph neural networks for modeling multi-scale urban energy systems. By
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that bridge quantitative modeling and qualitative approaches. Postdoctoral researcher in peri-urban energy planning and sufficiency Your tasks Develop and apply optimization and simulation models to assess