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Epigenomics Internship Topics

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

Epigenomics Internships with Accommodation

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Showing 1–5 of 5 internship topics
Epigenetic Age Prediction Model Development
Interns will work on building and optimizing machine learning models that predict biological age from DNA methylation patterns. They will preprocess epigenomic datasets, implement algorithms (Random Forest, XGBoost, Neural Networks), and validate predictions against chronological age across different tissue types and populations.
AI Epigenetic Clock & Aging ResearchView internship →
DNA Methylation Data Processing & Quality Control
Interns will develop pipelines for processing large-scale DNA methylation datasets from technologies like WGBS and 450K arrays. Tasks include quality control, normalization, batch effect correction, and feature selection to prepare data for epigenetic clock analysis.
AI Epigenetic Clock & Aging ResearchView internship →
Aging-Associated Epigenetic Markers Identification
Interns will analyze epigenomic datasets to identify and characterize CpG sites and genomic regions most strongly associated with aging. They will perform statistical analyses, functional annotation, and validation of candidate biomarkers linked to age-related phenotypes and diseases.
AI Epigenetic Clock & Aging ResearchView internship →
Integrative Multi-Omics Analysis for Aging Research
Interns will integrate epigenomic data with transcriptomic, proteomic, and clinical data to understand the relationship between epigenetic changes and aging outcomes. They will perform correlation analyses, pathway enrichment studies, and develop multi-modal predictive models.
AI Epigenetic Clock & Aging ResearchView internship →
Validation & Benchmark Development for Epigenetic Clocks
Interns will evaluate and compare different epigenetic clock models (Horvath, Hannum, GrimAge) across diverse cohorts and aging scenarios. They will conduct benchmarking studies, assess clock accuracy in disease and intervention contexts, and contribute to developing improved clock algorithms.
AI Epigenetic Clock & Aging ResearchView internship →
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