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Computational Biology

Computational Biology
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Computational Biology

Choose a category below to begin. Each category opens into focused areas, and selecting a focused area lets you pick your final internship variant (your preferred track, mode and duration).

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Showing 1–20 of 50

AI Protein Structure Computational Research
Internship studying protein structure computationally with AI prediction and functional analysis. Mentor-led sessions build applied skill.
Academic (A)Tech (T)Research (R)
1 Month
A · ₹7,670
T · ₹42,931
R · ₹62,446
3 Months
A · ₹56,452
T · ₹68,997
R · ₹1,00,359
6 Months
A · ₹1,25,449
T · ₹1,53,326
R · ₹2,23,020
14 more durations from 5 days to 1 year
5 focused areasClick to view more details →
Machine Learning Genome Analysis Research
Internship analysing genomes with ML across variant calling, annotation, and interpretation. Includes mentored hands-on analysis sessions.
Academic (A)Tech (T)Research (R)
1 Month
A · ₹7,670
T · ₹42,931
R · ₹62,446
3 Months
A · ₹56,452
T · ₹68,997
R · ₹1,00,359
6 Months
A · ₹1,25,449
T · ₹1,53,326
R · ₹2,23,020
14 more durations from 5 days to 1 year
5 focused areasClick to view more details →
AI Systems Computational Biology Research
Internship studying systems biology computationally with AI models spanning molecules to phenotype. Guided practice with real datasets throughout.
Academic (A)Tech (T)Research (R)
1 Month
A · ₹7,670
T · ₹41,798
R · ₹60,797
3 Months
A · ₹54,962
T · ₹67,175
R · ₹97,710
6 Months
A · ₹1,22,137
T · ₹1,49,278
R · ₹2,17,132
14 more durations from 5 days to 1 year
5 focused areasClick to view more details →
AI Molecular Dynamics Simulation Research
Internship running molecular dynamics with AI setup, sampling, and trajectory interpretation. Interns work with realistic case datasets.
5 focused areasClick to view more details →
AI Regulatory Network Inference Research
Internship inferring regulatory networks with AI from expression, chromatin, and perturbation data. Interns practise on genuine research problems.
5 focused areasClick to view more details →
AI Single-Cell Computational Research
Internship studying single-cell data computationally with AI workflows from counts to cell states. Applied sessions reinforce each technique.
5 focused areasClick to view more details →
AI Metagenomics Computational Research
Internship studying metagenomes computationally with AI assembly, binning, and function assignment. Practical exercises anchor every concept taught.
5 focused areasClick to view more details →
AI Drug Target Computational Research
Internship studying drug targets computationally with AI integration of genetics, structure, and text. Guided practice with real datasets throughout.
5 focused areasClick to view more details →
AI Epigenome Computational Research
Internship studying epigenomes computationally with AI analysis of marks and regulatory consequence. Includes mentored hands-on analysis sessions.
5 focused areasClick to view more details →
AI Quantum Computational Biology Research
Internship studying quantum approaches to computational biology problems with realistic benchmarking. Hands-on work runs alongside theory modules.
5 focused areasClick to view more details →
RNA Secondary Structure Prediction Research
Develop and optimize computational algorithms for predicting RNA folding patterns and secondary structures using thermodynamic modeling and machine learning approaches.
5 focused areasClick to view more details →
Phylogenetic Tree Construction Research
Build and analyze evolutionary relationships between organisms using sequence alignment algorithms and statistical methods for comparative genomics studies.
5 focused areasClick to view more details →
Variant Effect Prediction Research
Develop computational tools to predict the functional consequences of genetic variants on protein function and disease susceptibility.
5 focused areasClick to view more details →
Protein-Protein Interaction Network Research
Map and analyze complex biological networks of protein interactions to identify functional modules and signaling pathways.
5 focused areasClick to view more details →
Metabolic Pathway Modeling Research
Create computational models of metabolic networks to simulate cellular biochemistry and predict organism phenotypes under various conditions.
5 focused areasClick to view more details →
Cancer Genomics Data Analysis Research
Analyze tumor sequencing datasets to identify driver mutations, copy number variations, and therapeutic vulnerability patterns in cancer cells.
5 focused areasClick to view more details →
Gene Expression Time Series Research
Analyze temporal gene expression patterns using time-series computational methods to understand developmental and disease progression dynamics.
5 focused areasClick to view more details →
Microbial Community Composition Research
Characterize bacterial and fungal community structures from environmental samples using taxonomic profiling and abundance estimation techniques.
5 focused areasClick to view more details →
CRISPR Off-Target Effect Prediction Research
Develop algorithms to predict and minimize unintended genomic edits from CRISPR-Cas9 gene editing systems for therapeutic applications.
5 focused areasClick to view more details →
Structural Variant Detection Research
Build computational pipelines to identify large-scale genomic rearrangements including deletions, duplications, and translocations from sequencing data.
5 focused areasClick to view more details →