Open position: Postdoctor in machine learning for single-cell data analysis
Johan Henriksson, group leader at MIMS and the Dept. of Molecular Biology, in close collaboration with Tommy Löfstedt, group leader at the Dept. of Computing Science, are looking for a postdoc.
Gene isoforms play key roles in disease etiology and outcome. Despite that gene isoforms are involved in most biological processes, they are commonly ignored because we lack tools to understand them. In this project we will build new large-scale machine learning tools to extract gene isoform information from commonly existing single-cell RNA-seq data.
The approach we consider is based on variational autoencoders and sequence models. The challenges lie in the data being extremely large, sparse, and noisy. The project will open doors into the currently most rapidly expanding field in biology.
Application deadline: 1 December 2022