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project which focuses on the understanding of the biophysical processes as droplets/condensates wet membrane compartments in cells. Numerical simulations and theoretical membrane models will be developed
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preconditioners for Newton methods. Concrete model problems and numerical examples will be used to guide and prototype the development. About the Department of Mathematics at UiB The prospective PhD candidate will
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and numerical methods for analyzing stochastic transport equations, which are critical for understanding how random fluctuations affect dynamic systems such as turbulence, water waves, and compressible
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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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), funded by the Research Council of Norway. The project’s goal is to develop mathematical and numerical methods for analyzing stochastic transport equations, which are critical for understanding how random
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01.10.2025. Employment is contingent upon the degree being awarded. Solid experience with numerical methods for solving partial differential equations (e.g., diffusion or wave equations) is required
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. Significant Advantage: Experience with AI safety concepts, interpretability methods, or a track record of publishing research in academic venues. We are seeking someone who can not only identify problems but
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(EVs) and microbacteria. Current methods to characterize these particles are too slow and bulky. We want to make an on-chip system to speed up the process and make it available to do research
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numerical methods for solving partial differential equations (e.g., diffusion or wave equations) is required. Proficiency in at least one of the following areas is required: Numerical methods for large-scale
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(EVs) and microbacteria. Current methods to characterize these particles are too slow and bulky. We want to make an on-chip system to speed up the process and make it available to do research