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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
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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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of our staff are post-docs, post-graduates or apprentices. Altogether, PSI employs 2300 people. For the Nanodiffraction Group we are looking for a PhD Student in low-energy electron holography Your tasks
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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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, technologies and systems. The ERAM group within TSL have great experience in SSbD, especially in combining different methods such as modeling mass flows analysis (MFA), Life cycle analysis (LCA) and semi
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of systems. We develop methods to advance sustainable energy and chemical process systems from the molecular to the scale of the systems. Our work combines process analysis and system modeling to design