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SP1 - PhD position in epigenomics at UMR

The position has been filled.

SP1 - PostDoc position in epigenomics at UFR

The Forest Genetics working group of the University of Freiburg, Prof. Dr. Katrin Heer is currently accepting applications for a

Postdoc

Fulltime position. Start-date: At the earliest possible date.

Project description

We are looking for a postdoctoral researcher for subproject 1, where we will investigate the role of epigenetics for acclimation in the Quercus robur clone. In controlled experiments, we will expose clonal oaks to combinations of drought and herbivore stress, and investigate the reaction of trees at the level of DNA methylation, TE activation and chromatin modifications. For this purpose, the successful applicant will generate and analyze whole genome bisulfite sequencing data, and identify TE activation from RNAseq and mobilome sequencing data. Further, chromatin accessibility will be studied using ATAC-seq. The experimental work will be carried out in Ecotron facilities in Bad Lauchstädt and Freiburg. The postdoctoral researcher will support the set-up and data collection in the Ecotron in Freiburg. Moreover, she/he will work additional experiments to study epigenetic effects of propagation from different bud types and of grafting in experiments in greenhouses and climate chambers in Freiburg. In the final phase, the successful applicant will be involved in the data synthesis of the research unit. The subproject is tightly integrated in the research unit and will be carried out in close collaboration with Prof. Dr. Lars Opgenoorth (University of Marburg) and his team.

Your profile

You have an MSc and Ph.D. in biology, plant ecology, bioinformatics, or similar fields with excellent results. You enjoy science and are driven by curiosity. You have experience with experimental work with plants, ideally with trees. Research experience in forest ecology, tree physiology, genetics or genomics and explicitly, with the bioinformatic analysis of WGBS data and regarding TEs is advantageous. We expect very good knowledge in data handling and statistical data analysis (in R and Unix environment) as well as a good publications record. Experience with laboratory work (DNA extraction and library preparation) is advantageous. You have good communication and team skills, and a meticulous way of working.

Your application

Deadline is 05.05.2023. For more information on how to apply.