Scientist, Quantitative Genetics | Scientist (f/m/d)

Job Summary

This Scientist position within the Quantitative Genetics research group focuses on developing statistical genomics tools to understand the genetic architecture of crop traits like grain yield heterosis. The role involves leveraging AI-based prediction methods, specifically testing Convolutional Neural Networks (CNNs) and various activation functions using experimental data from multiple crops. A key part of the job is summarizing findings, contributing to scientific publications, and managing large-scale genomic and genotyping data. The ideal candidate will possess strong analytical skills, experience with biostatistics and programming languages like R and Python, and a collaborative spirit within an English-focused research environment. This is a unique opportunity to contribute to cutting-edge research in a world-class facility.