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Biosciences Internship Topics

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

Biosciences Internships with Accommodation

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Showing 1–5 of 5 internship topics
Genomic Data Pipeline Development
Interns will develop and optimize automated pipelines for processing large-scale genomic datasets using machine learning algorithms. The focus will be on data quality control, variant calling, and integration of multi-omics data sources to support downstream biological analysis.
AI Biosciences Data Integration ResearchView internship →
Biomedical Literature Mining and Knowledge Graph Construction
Interns will work on extracting biomedical entities and relationships from scientific literature using NLP techniques to build knowledge graphs. This involves training and evaluating AI models to identify gene-disease associations, drug interactions, and protein-protein interactions from unstructured text.
AI Biosciences Data Integration ResearchView internship →
Metabolomics Data Integration and Pattern Recognition
Interns will integrate metabolomics datasets from multiple experimental platforms and apply machine learning algorithms to identify biomarkers and metabolic signatures. The work includes data normalization, statistical analysis, and developing predictive models for disease classification.
AI Biosciences Data Integration ResearchView internship →
Clinical Imaging AI and Radiomics Data Analysis
Interns will work on integrating medical imaging data with clinical biodata using deep learning models for disease diagnosis and prognosis. Tasks include image preprocessing, feature extraction, model development, and validation using radiomics approaches across multiple imaging modalities.
AI Biosciences Data Integration ResearchView internship →
Single-Cell Transcriptomics Data Analysis and Cell Classification
Interns will analyze high-dimensional single-cell RNA-seq datasets to identify cell types, developmental trajectories, and functional states using unsupervised and supervised machine learning methods. The focus includes clustering analysis, dimensionality reduction, and integration of multi-batch single-cell datasets.
AI Biosciences Data Integration ResearchView internship →
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