Hybrid Partial Differential Equations (PDEs) + deep-learning segmentation PDE · DL
3D segmentation that keeps thin branches.
MIND-MAP · a funded PhD on microglia
What does it mean when a brain cell changes its shape? Build the geometry and topology that turn 3D + time microscopy into a quantitative language for brain states.
PDE · DL3D segmentation that keeps thin branches.
multi-scaleCell shapes that hold across scales.
live imagingHow shapes change over time.
geometry · topologyWhat shape changes mean.
The project combines mathematical method development with real, challenging biological data — the goal is not merely to apply existing PDE/ML tools, but to develop new combinations.
CTU PI: Jooyoung Hahn (CTU Prague; computational modelling). MIND-MAP partners: Paweł Dłotko (University of Warsaw; Topological Data Analysis) and Sandra Siegert (ISTA, Austria; microglia biology and imaging).
This page is a pre-announcement and does not constitute the formal recruitment notice.
If a combination of geometry-informed Topological Data Analysis, PDEs and deep learning in real scientific data sounds interesting, feel free to contact me already now. Send a CV, add a few lines about your research interests and what you can bring. This is a pre-announcement; the official recruitment calls, including formal conditions, will be published separately.
jooyoung.hahn@fjfi.cvut.cz