Medical Biotechnology › Machine Learning Gene Therapy Research
Synthetic Data Generation for Gene Expression Prediction
Interns will create generative models (GANs, VAEs) to synthesize realistic gene expression datasets for training therapeutic prediction models where real data is limited. They will validate synthetic data quality and use it to improve machine learning models for therapeutic response prediction across diverse genetic backgrounds.
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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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