High-resolution (STED-based) microscopy system with adaptive optics Apply here
Pandemic Forecasting Based on Mathematical Models and Machine Learning. Apply here
Internships/Research Lab/Master Thesis
Please don't hesistate to contact the linked person for further details!
Spatially Dependent Convolution (Felix Wechsler)
Modern image devices tend to use cheaper hardware but more sophisticated algorithms. Often, the forward imaging process cannot described as a convolution any longer. Hence, a spatially dependent deconvolution routine is needed. Aim of this project is to develop a prototype for the general problem of spatially dependent deconvolution. Recent publications strongly point to the usage of neural nets for the reconstruction. The work should be realized favorably in Julia Lang.
If you don't fit any of the these positions but still are interested in joining our group, please send an mail with attached CV and motivation letter to Rainer Heintzmann.