Postdoctoral Researcher - Machine Learning for Plant Regulatory Genomics

You will lead the machine-learning core of an interdisciplinary research project at the interface of genomics, deep learning, and plant biology. Your work will focus on developing and applying predictive models that link genetic variation to gene regulation and traits, working with large multi-omics datasets generated across the consortium. You will assemble, harmonize, and curate large-scale datasets into AI-ready resources, develop and fine-tune deep-learning models, and present results at meetings and conferences. A Master and/or PhD in a relevant field is required, along with strong experience in machine learning and proficiency in Python. Excellent English skills are essential, and knowledge of German is a plus.