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models in the form of prototypical software. About the position The position provides you with the opportunity to pursue PhD studies in Computing Science for four years, with the goal of achieving
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Data-driven predictions of dynamical systems are used in many applications, ranging from the design of products and materials to weather and climate predictions. Mathematical concepts from geometry
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anthropology and social science to biostatistics and mathematical modelling as well as observational cohorts with biobanks. The Environmental Exposures and Health Unit (EEH) of EPH is focused on research related
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asymptotic analysis of stochastic processes Impact: Faster detection of anomalies and reliable uncertainty quantification Job Description As a PhD candidate in Mathematical Statistics, you will develop novel
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Are you highly motivated to do PhD research in mathematical machine learning, with special emphasis on mathematical foundations for explainable AI? If yes, the Korteweg-de Vries Institute
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the real world based on a seamless combination of data, mathematical models, and algorithms. Our research integrates expertise from machine learning, optimization, control theory, and applied mathematics
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the focus areas are stochastic optimization and equilibrium modelling in energy systems and markets. Position 1: PhD Project - “Optimisation of household demand response” The project aims to achieve
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Science, or related disciplines. You have an aptitude for experimental research and data analysis. Experience with programming and/or mathematical modelling is an advantage. Excellent written and oral
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, Specfem3D). Integrate diverse seismic datasets from AlpArray, AdriaArray, ANTICS, and C2S-RLN. Analyze the resulting models in the context of tectonics, geodynamics, and seismic hazard. Collaborate with