16 molecular-modeling-or-molecular-dynamic-simulation PhD positions at Empa in Switzerland
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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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nanoparticle systems. Investigate model particles such as liposomes, mesoporous silica and silver nanoparticles. Investigate RNA-LNP formulations for next-generation gene therapeutics, examining how lipid
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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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different methods such as modeling mass flows analysis (MFA), Life cycle analysis (LCA) and semi-quantitative methods for decision support for sustainable innovation. PhD Student in Safe and Sustainable Green
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fluency is not needed but considered a plus. You are a dynamic and curious person, highly motivated to work to face environmental challenges, in multidisciplinary and international collaborations. Our offer
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the following topics: plasma technology, surface science, water treatment, redox/radical chemistry. Proficient in spoken and writing English. German fluency is not needed but considered a plus. You are a dynamic