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lack of rapid tools to understand and monitor the spread of pathogens. Building on our previous work on DNA tracing technologies, we aim to develop tools and procedures to model and monitor the spread
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. Empa is a research institution of the ETH Domain. Empa's Laboratory of Biomimetic Membranes and Textiles is a pioneer in physics-based modeling at multiple scales. We bridge the virtual to the real world
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: Study activation under NIR light and assess catalytic and photothermal performance. Biomedical evaluation: Validate efficacy in vitro astrocytoma relapse models and ex vivo patient-derived tissue samples
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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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reinforcement learning for large language models (LLMs). Research directions include developing next-generation post-training algorithms, exploring diffusion-based approaches to reasoning with language models
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, if any, must be included) – Certified copy of Academic Degree/s in original language along with a certified translation into English, and/or Diploma Supplement (if applicable) – Certified copies
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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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Field Theory Appl Deadline: 2025/04/27 11:59PM filled (posted 2025/03/31, listed until 2025/09/30) Position Description: Apply Position Description The Theoretical Particle Physics Laboratory (LPTP
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Division Macroeconomic Forecasting and Data Science analyses and forecasts the Swiss and international economy and produces KOF’s short- and medium-term macroeconomic outlooks using macroeconometric models
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have since helped halve global mortality, but this progress is threatened by rising insecticide resistance. We build quantitative, data-driven models to forecast the spread and impact of resistance