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The Computational Mechanics Group in the Department of Mechanical and Process Engineering of ETH Zurich is seeking one doctoral student. The position is funded by the SOFRA(CT) project and aims
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operations that are yet to be fully understood. In this context, it is evident that the operation, control, and planning of power systems will soon be pushed to their limits. Therefore, new computational
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maintenance of neuroinflammatory processes and identify molecular targets that could serve as the basis for future therapies. To that end, we combine human studies with experimental (gnotobiotic) murine models
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central objective is to achieve a deep, mechanistic understanding of the processes that govern electrochemical performance and cycling stability. Your research will focus on elucidating and engineering
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for the physically informed processing and joint analysis of time-series data. The successful candidate will conduct observational programmes with the SPECULOOS facility and actively participate in the scientific
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, under its grant SNSF 225225 . The application process The application needs to be written in English and submitted via Academicjobsonline. The application should contain: Cover letter; CV with full
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, and process automation Project background During your PhD, you will examine how conversational AI can be deployed effectively to frontline service interactions with customers or as a support tool for
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role of drug transporters and drug-metabolizing enzymes in these processes. Both transporters and enzymes are influenced by multiple factors, including naturally occurring genetic variants, which
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and computer scientists PhD applicants must possess a Master's degree in mathematics, theoretical physics, or computer science. Candidates should have an exceptional academic record and a robust
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Raman microscopy, this work will enable “greyscale” detection of molecular-level forces and provide new insight into early-stage damage processes in polymers. The research will focus on the synthesis