Thesis supervisor: Péter Horváth
Location of studies (in Hungarian): Institute of Biochemistry Biological Research Centre Hungarian Academy of Sciences Abbreviation of location of studies: BRC
Description of the research topic:
Multicellular three-dimensional (3D) “-oids” (e.g. spher-oids, organ-oids) are predicted to become the next generation drug discovery models of diseases such as cancer, because they model the physiology of the disease better than classical 2D cell cultures. The aim of this project is to develop intelligent microscope systems that are able to monitor and interact with the samples. For example, detect, manipulate or treat spheroids which have a certain size and other morphological properties. To this end, we will combine microscopy with high-end computational methods including deep learning and phenotypic cellular analysis.
The successful applicant has an degree in computer science, engineering, mathematics or related fields. Research experience is a plus.
Required language skills: english Further requirements: Jó szintű beszélt és írott angol nyelv