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Spectral Theory" at the Mathematical Institute at the Georg-August University of Göttingen. Your profile Master degree in mathematics or equivalent Research focus with an analytical profile in one
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a doctorate. We are looking for: candidates with a Master’s degree in mathematics or a closely related field and with a strong background in probability theory. Prior knowledge in spatial stochastic
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a doctorate. We are looking for: candidates with a Master’s degree in mathematics or a closely related field and with a strong background in probability theory. Prior knowledge in spatial stochastic
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of biogeochemical processes with an emphasis on terrestrial ecosystems Development of observational techniques to monitor and assess biogeochemical feedbacks in the Earth system Theory and model development
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theory. While the GW method reliably describes photoelectric (main) peaks, it often fails to accurately capture satellite positions, which require more advanced techniques such as the cumulant approach (GW
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computational tools for predicting satellite features in XPS spectra of 2D framework materials. Your work will be based on the GW approximation within Green’s function theory. While the GW method reliably
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experimentation (IMD-3: Institute of Energy Materials and Devices – Photovoltaics) and high-performance computation (IET-3: Institute of Energy Technologies – Theory and Computation) towards the overarching aim
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background in probability theory. Prior knowledge in spatial stochastic or discrete probabilistic structures is beneficial but not required. What we offer: WIAS Berlin is a premier research institution known
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decision-making, and mathematical theories of AI. While applications of AI are used to validate these innovations, the primary goal is to build foundational methods and theories for societal impact. Course
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tunnel testing and statistical modelling using extreme value theory, the project will yield predictive frameworks for structural risk under rare yet damaging wind conditions. The results will support