Website Leibniz-Institut für Pflanzengenetik und Kulturpflanzenforschung
The Quantitative Genetics research group is interested in devising and evaluating ‘omics’-based breeding strategies to boost selection gain in (pre)breeding programs. Our model crop is wheat, but research activities also encompass barley, German chamomile, common bean, soybean, maize, rye, Arabidopsis, and canola. In the frame of a third party funded research project, we are looking for a PhD-student:
+ Develop improved prediction approaches to analyse big data in plant breeding.
+ Test the models using experimental data in wheat.
+ Publish results in high-impact journals.
Your qualifications and skills:
+ You hold a Master’s degree (or equivalent) in plant breeding, mathematics, statistics, biostatistics, bioinformatics, or related fields.
+ You have familiarity with R and Python.
You fit to us:
…if you have good writing and oral communication skills. …if you can work both independently and as part of a team. …if you are interested in plant breeding and data mining.
To apply for this job please visit leibgate.pi-asp.de.