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. Numerical simulations and theoretical membrane models will be developed, aiming to couple viscous interfacial fluid flow, elastic deformations and wetting-like processes at cellular membranes. The theoretical
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on the understanding of the biophysical processes as droplets/condensates wet membrane compartments in cells. Numerical simulations and theoretical membrane models will be developed, aiming to couple viscous interfacial
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engineering and generative machine learning modeling to design gene therapy constructs and validate the constructs in vitro and in vivo. The candidate will work in a highly interdisciplinary environment that
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system models remain incapable of simulating this damaging impact of winter warming on ecosystems, and subsequent feedbacks to the atmosphere. Therefore, this PhD position will focus on the physiological
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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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system models remain incapable of simulating this damaging impact of winter warming on ecosystems, and subsequent feedbacks to the atmosphere. Therefore, this PhD position will focus on the physiological
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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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universe. The candidate will also explicitly compare such predictions with Lyman-alpha data, thus deriving novel bounds on (or positive evidence for) secluded dark matter models. The latter aspect may
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learning models for the construction of constructs and capsids using combinations of discriminative and generative methods, methods for protein structure prediction and docking simulations. The successful
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); mathematical modelling of cancer; probabilistic modelling and Bayesian inference, stochastic algorithms and simulation-based inference; and statistical machine learning. More about the position The position is