Forestry › AI Forest Genomics & Adaptation Research
AI-Driven Phenotype Prediction from Genomic Data
Interns will apply machine learning algorithms to predict forest tree phenotypes (growth rate, wood quality, disease resistance) from genomic information. They will develop prediction models, validate results against field measurements, and create tools for early selection of superior tree genotypes.
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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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