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approaches. The PhD will develop and apply optimization-based energy system models to analyse whether spatially coherent urban and energy configurations can be operated efficiently under realistic physical
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therapeutic strategies, ranging from antibacterial to anti-cancer drugs. To this end, we develop new ways to combine state-of-the-art technologies in metabolomics with mathematical modeling. The candidate will
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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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opportunity to see mathematical models come alive, guiding experiments as they happen. Teaching: The position includes a small teaching duty in Statistics → includes enhanced salary compared to standard PhD
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solutions for the global challenges of today and tomorrow. Where to apply Website https://academicpositions.com/ad/eth-zurich/2026/phd-position-in-physics-inform… Requirements Research FieldComputer
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models to the design of sustainable processes in chemical engineering. To bridge the scale from molecules to processes, we apply state-of-the art mathematical concepts and tools combined with highly
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, ranging from antibacterial to anti-cancer drugs. To this end, we develop new ways to combine state-of-the-art technologies in metabolomics with mathematical modeling. The candidate will have the opportunity
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of Prof. Tomasz Smoleński at the Department of Physics, University of Basel, Switzerland (https://smolenski-lab.com ), is looking for a highly-motivated and self-driven PhD candidate. The group utilizes
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, plate structures, semantic data models, finite element analysis, and plugin development. The PhD position (full-time) will span 4 years of research and is funded according to standard SNSF regulations