Plant Breeding Genetics › Genomic Selection Model Development
Genomic Prediction Model Building
Interns will develop and train machine learning models (GBLUP, Ridge Regression, Random Forest) to predict complex agronomic traits from genomic data. They will work with training datasets, optimize model parameters, and evaluate predictive accuracy across different crop populations and environments.
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📚 Academic: Thesis & PPT assistance included🧪 Tech: Master the protocols hands-on📝 Research > 3 months: Publication co-authorship in a Scopus-indexed journal
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