Available Master topics: Scientific Computing

Over the last decade it has been shown that waste is cleared from the brain along different fluid pathways. In this project we will use one or more fluid mechanics models (diffusion, convection-diffusion, Navier-Stokes equations, Biot's equations) to answer which mechanism is most likely to explain waste clearance from the brain as seen in experimental data.
In this project you will investigate and optimize a variety of machine learning techniques to interact with advanced biophysical mathematical models describing cellular processes in cardiac cells.
How can we distribute complex problems on supercomputers that contain many CPU cores and GPUs ? This thesis looks at improving the software that decomposes problems for such parallel heterogeneous systems.
Ordinary differential equation (ODE)-based “ionic” or “membrane” modeling of excitable, living cells is an established formalism in computational physiology permitting insight into their function. In this project, a recent model of the electrophysiology of a non-excitable cell, the chondrocyte (which maintains and sustains cartilage) – will be supported and explored.