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processes as droplets/condensates wet membrane compartments in cells. Numerical simulations and theoretical membrane models will be developed, aiming to couple viscous interfacial fluid flow, elastic
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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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their final master exam before 15.07.2025. It is a condition of employment that the master's degree has been awarded. Experience from molecular dynamics (MD) simulations is a requirement. Experience with the
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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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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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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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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
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: The host research group, led by Professor Helge Ræder, MD, PhD, at the Department of Clinical Science, University of Bergen, applies AI in endocrinology and digital health. Our research integrates AI