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with our team of experienced scientists, postdocs and PhD students, you will develop materials that contribute to the development of the next generation of sustainable biocomposite materials. This project is
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with ex situ experiments, demographic modelling or handling large datasets as well as holding a valid driver's license is a plus. Application / Contact Please upload your application via our online
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, MATLAB, or similar tools. Experience in theoretical modelling (DFT, TDDFT, FDTD, COMSOL, etc.) is an advantage. Interest in scientific collaboration with experimental and theoretical groups. Ability
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will develop and apply advanced methodologies, including scenario analysis and the innovative use of satellite data, to model the exposure and vulnerability of companies to climate-related hazards (e.g
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. Project background The position is associated to a project on phase-field modeling of fracture. The PhD project aims at developing cutting edge models for the fracture behavior of quasi-brittle materials
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with large language models (LLMs). The successful candidate will investigate both theoretical aspects – such as understanding the mechanisms and limitations of reasoning in modern LLMs – and practical
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layers, thorough FLA processing, and extensive materials characteri-zation using XRD, electron microscopies, TOF-SIMS, electrochemical methods, etc. Modeling and simulations should help us to explain
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their subsequent simultaneous analysis. This project aims at overcoming these challenges to reliably measure atmospheric levels of PFASs and model their respective emission strengths in Switzerland
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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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: design and operation of scanning probe instrumentation fabrication of van der Waals heterostructures transport, optical spectroscopy, and quantum sensing experiments data analysis, modeling, and scientific