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modeling and probabilistic machine learning, tackling problems that arise in molecular systems and heterogeneous materials. Eine Postdoktorandenstelle im Bereich physik-informiertes generatives Modellieren
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, probabilistic methods, or related areas. This project is part of an ambitious research program across the Schools of Civil Engineering and Project Management. The appointee will conduct original research
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. The position will involve developing probabilistic frameworks to characterize compound hazard frequency and severity under current and future climate states. The position offers the candidate the opportunity
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of path integrals (measures) using geometric, algebraic, and probabilistic methods. Research Areas • Quantum-related geometry and physics • String theory and gauge/gravity theories • Enumerative algebraic
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in probabilistic temporal event dynamics. Required Qualifications: - PhD in computer science, engineering, biomedical data science, informatics with advantage for experience in conducting research
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to 2 postdoctoral researchers on technology foresight for policy-driven low-carbon technologies. The postdoctoral position will focus on developing data-driven approaches for probabilistic modelling
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to 2 postdoctoral researchers on technology foresight for policy-driven low-carbon technologies. The postdoctoral position will focus on developing data-driven approaches for probabilistic modelling
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precipitated withdrawal distinction has clinical significance, and this project aims to detect this separation through model architecture in probabilistic temporal event dynamics. Required Qualifications: - PhD
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of neural networks, information-theoretic and optimal-transport perspectives on representation and generalisation, probabilistic numerics and Bayesian deep learning, and emerging frameworks for scientific
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on the design and development of mathematical, probabilistic, and statistical frameworks for drawing inferences from complex biological data in collaboration with scientists at the Snow Centre for Immune