1.Design deep learning architectures for multi-omics data integration
2.Develop dynamic modeling algorithms for spatiotemporal gene perturbation analysis
3.Optimize knowledge distillation models integrating GWAS data with CRISPR validation results
4.Construct agricultural knowledge graphs
1.PhD in Computational Biology/Bioinformatics or dual Master's in Computer Science + Biology
2.Demonstrated ability to translate biological problems into mathematical models
3.Preferred:Familiarity with complete crop breeding pipelines；Publications in AI + omics research (Q1/top-tier journals preferred)
Email or visit MGI/BGI Research at Booth 29-30 to learn more.