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] Subject Area: Mathematics - Probability Theory Appl Deadline: 2025/09/15 11:59PM (posted 2025/07/04, listed until 2025/09/15) Position Description: Apply Position Description The Department of Mathematics
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main areas of research are machine learning, distributed systems, and the theory of networks. Within these three areas, we are currently working on several projects: graph neural networks, natural
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living spaces. On the other hand, you will develop a serious game in close collaboration with our practice partner to support the negotiation process between stakeholders regarding the urban transformation
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theories of urban, political, and social change. This position can be an excellent stepping stone, whether you aim to pursue a PhD after your master’s degree or build a career outside academia. Workplace
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ecosystem functions within cities. Anchored in two real-world laboratories in Switzerland, the project uses design-science loops, empirical studies, and serious games to test, evaluate, and implement
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systems theory, signal processing, and optimization is a plus. Background on 3D printing, process modeling, and systems design is a plus. An excellent knowledge (written/oral) of English is a must
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, at the phonetic, lexical and syntactic levels. The candidates will develop theoretical models of network of single neurons, using dynamical systems theory and simulations. The models will be fit to single-cell
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decision theory, with one position focused on the political drivers of durable biodiversity policy, and the other focused on cross-sectoral spatial planning under uncertainty. Project background Achieving
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upcoming areas off the beaten paths. Our three main areas of research are machine learning, distributed systems, and theory of networks. Within these three areas, we are currently working on several projects
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problems. The succesful candidate will work on the application and extension of data-driven nonlinear model reduction based on the recent theory of spectral submanifolds (SSMS). SSM-reduction is a dynamical