Dear all, We are looking for an open-minded and enthusiastic bioinformatics postdoc candidate for a three year project on developing computational methods for the analysis of complex genomes. The project will follow up on a recently developed method of the group that assembles individual haplotypes of tetraploid genomes using a combination of bulk long-read and single gamete genome sequencing (Sun /et al., /2021, bioRxiv, https://doi.org/10.1101/2021.05.15.444292). The candidate will develop computational methods to genotype samples based on individual haplotypes of any genome and apply these methods to analyze the inheritance of such haplotypes in recombinant pollen genomes of potato cultivars. It is expected that the haplotype-based genotyping methods developed in this project will be applicable beyond the field of plant genomics (e.g. human genomics). Applicants should hold a PhD degree in bioinformatics or a similar field in computational biology. We are specifically searching for a candidate with strong programming skills (Java, C++, Python), experience in the analysis of high-throughput sequencing data, and the ability to make use of high-performance computational clusters. Good oral and writing skills in English are a must. The Schneeberger group is located at the Faculty of Biology of the Ludwig-Maximilians University in Munich, with a part of the group working at the Max Planck Institute (MPI) for Plant Breeding Research in Cologne, Germany. The candidate for this project will be based at the MPI in Cologne. Please find the attached PDF for additional details about the position and how to apply. Kind regards, Raúl Wijfjes Schneeberger Group, Ludwig-Maximilians University Munich, Germany