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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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continuously learn from data in a distributed way. Coupling of new theory with effective implementation strategies have the potential to make a lasting impact on building efficiency through sustainable
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description - The successful candidate will collaborate on research projects related to the mathematics of plasmas, with a focus on kinetic theory and PDEs. - Specific topics include stability, long
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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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materials science, mechanical engineering, or a related field. Experience with additive manufacturing and related theory. Material characterization (e.g., microscopy, mechanical testing). A good knowledge
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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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how architecture can foster interdependent care, focusing on non-conforming bodies through theory and design. The project challenges spatial norms shaped by assumptions of “normality” and aims
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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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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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, 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