Machine Learning Model Optimization for Variant Calling
Interns will research and implement deep learning models to improve accuracy in NGS variant calling pipelines. Work involves experimenting with neural network architectures, training on benchmark datasets, and comparing performance against existing tools like GATK and SAMtools.
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