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About the Role
What will your routine look like working with us?
- Globally responsible for developing and deploying advanced AI solutions across GDM’s plant breeding and genomics R&D portfolio to accelerate genetic gain, improve selection accuracy, and shorten breeding cycles.
- Integrate phenotypic, genotypic, environmental, and remote sensing datasets into scalable AI architectures.
- Implementing new machine learning models as an alternative to traditional methods of genomic selection.
- Build agentic AI workflows to automate breeding analytics, model retraining, and decision-support pipelines.
Requirements to participate in the process:
- Bachelor’s degree in Agronomy or Agricultural Engineering, with a Master’s and/or PhD in Computer Science, Data Science, Machine Learning, Statistics, Mathematics, or Plant Breeding.
- Strong knowledge of Machine Learning and AI, including different algorithms, techniques, and app...
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