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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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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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, 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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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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. 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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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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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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to complete your application: A personal letter A cv A copy of the last (highest) qualification including transcript of records Contact details of two academic or professional references (name, position, e-mail
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fundamental questions including: How can we best simulate Hermitian and non-Hermitian strongly correlated quantum systems and harness the power of both classical and quantum computing resources? How can we
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is therefore expect to have experience in at least one of these interdisciplinary areas: 1. Neuroscience and/or VLSI basic device physics. 2. Spike-based computing paradigms: theory and modeling. 3