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Molecular Oncology Internship Topics

Browse all focused areas across all internship categories under this field.

Molecular Oncology Internships with Accommodation

Choose an internship topic, then explore accommodation-enabled internship options at active NTHRYS branch locations in India.

Showing 1–5 of 5 internship topics
Machine Learning Models for DNA Methylation Pattern Recognition
Interns will develop and train AI algorithms to identify aberrant DNA methylation patterns associated with different cancer types. They will work with publicly available epigenomic datasets, implement classification models, and validate predictions against clinical outcomes to discover novel biomarkers.
AI Epigenetic Cancer ResearchView internship →
Deep Learning Analysis of Histone Modification Landscapes
Interns will apply convolutional neural networks and attention mechanisms to analyze ChIP-seq data for histone modifications in cancer vs. normal cells. They will focus on predicting gene expression changes and identifying key epigenetic drivers of oncogenic transformation.
AI Epigenetic Cancer ResearchView internship →
Chromatin Accessibility Prediction Using AI
Interns will build predictive models using ATAC-seq and DNase-seq data to forecast chromatin accessibility patterns in cancer cells. Their work will involve feature engineering, model optimization, and integration with known cancer-associated regulatory regions.
AI Epigenetic Cancer ResearchView internship →
Natural Language Processing for Epigenetic Literature Mining
Interns will utilize NLP techniques to systematically extract epigenetic-cancer relationships from biomedical literature and clinical databases. They will develop pipelines to identify novel gene-epigenetic mark associations and generate hypothesis-driving datasets for validation studies.
AI Epigenetic Cancer ResearchView internship →
Predictive Modeling of Drug Response Using Epigenetic Signatures
Interns will construct machine learning models that correlate epigenetic signatures with chemotherapy and targeted drug responses in cancer patient cohorts. They will integrate multi-omics data to develop computational tools for personalized treatment prediction and resistance mechanism identification.
AI Epigenetic Cancer ResearchView internship →
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