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storage. Concretely, this PhD project will look at the theoretical foundation and associated numerical and computational methods for large scale poroelastic response on the basin scale - thus covering
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within CSSR at the Department of Physics and Technology. Specifically, it is envisioned to develop and analyze new mathematical and numerical methods for processing 4D spatial and temporal data
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the biophysical processes as droplets wet membrane compartments in cells. Numerical simulations and theoretical models will be developed of the viscous interfacial fluid flow at cellular membranes alongside
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equilibrium. We conduct research on earth systems that range in scale from atoms to continents and apply methods where fieldwork, numerical modelling, experiments and theory act in concert. The center includes
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have expertise in at least one of the following research areas: PDEs, numerical methods, optimization, functional analysis, or stochastic analysis Candidates without a master’s degree have until 1st
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on the understanding of how the biophysical processes as droplets wet membrane compartments in cells. Numerical simulations and theoretical models will be developed of the viscous interfacial fluid flow at cellular
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motivated PhD candidate to conduct research in the field of evidence synthesis. The project will focus on statistical methods for living network meta-analyses – dynamic networks of interventions
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or numerical methods in the context of environmental research is highly advantageous. Experience with the interpretation of field data is advantageous. Grade requirements: The norm is as follows: the average
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, stochastic (partial) differential equations, numerical methods in stochastics, probability and mathematical statistics Candidates without a master’s degree have until 30 June 2025 to complete the final exam
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. The project will focus on statistical methods for living network meta-analyses – dynamic networks of interventions that are continuously updated as new evidence emerges. This PhD position offers a unique