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Applied Immunology Internship Topics

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

Applied Immunology Internships with Accommodation

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

Showing 1–12 of 15 internship topics
Machine Learning Models for Pathogen Detection
Interns will develop and train AI algorithms to identify and classify pathogens from immunological data, including sequencing reads and protein structures. Work will involve preprocessing datasets, implementing neural networks, and validating model accuracy against clinical samples.
AI Infection & Immune Response ResearchView internship →
Predictive Analysis of Immune Response Kinetics
Interns will use time-series AI models to predict immune response trajectories following infection or vaccination. This includes analyzing antibody production, T-cell proliferation rates, and cytokine dynamics to forecast treatment outcomes.
AI Infection & Immune Response ResearchView internship →
Epitope Mapping and Vaccine Design Optimization
Interns will apply computational immunology tools and machine learning to identify antigenic epitopes and optimize vaccine candidates. Work includes structural bioinformatics analysis, HLA-peptide binding predictions, and immunogenicity assessments.
AI Infection & Immune Response ResearchView internship →
Deep Learning for Immune Cell Classification
Interns will develop convolutional neural networks and transfer learning models to classify immune cell populations from flow cytometry and imaging data. Tasks include dataset annotation, model training, and validation against expert classifications.
AI Infection & Immune Response ResearchView internship →
Natural Language Processing for Immunological Literature Mining
Interns will build NLP pipelines to extract infection-immune response relationships from biomedical literature and clinical reports. This includes named entity recognition, knowledge graph construction, and trend analysis in immunological research.
AI Infection & Immune Response ResearchView internship →
Metabolic Profiling of T Cell Activation States
Interns will learn to measure and analyze metabolic changes in T cells during activation, differentiation, and exhaustion using techniques such as Seahorse metabolic assays and glucose/lactate uptake studies. They will investigate how shifts between oxidative phosphorylation and glycolysis influence T cell function and develop protocols for real-time metabolic monitoring.
Immunometabolism & Immune Cell Energy DynamicsView internship →
Lipid Metabolism and Immune Cell Differentiation
This area focuses on how lipid uptake, synthesis, and oxidation regulate differentiation pathways in macrophages, dendritic cells, and lymphocytes. Interns will perform lipidomic analyses, study FAO (fatty acid oxidation) in immunosuppressive cell populations, and examine the role of lipid droplets in immune tolerance.
Immunometabolism & Immune Cell Energy DynamicsView internship →
mTOR Signaling in Immune Homeostasis and Dysfunction
Interns will investigate mTOR pathway dynamics in various immune populations and their metabolic consequences, including studies on mTORC1/C2 balance in T cell memory formation and the role of metabolic checkpoints in autoimmunity. They will use inhibitor studies and genetic models to understand therapeutic targeting of immunometabolic pathways.
Immunometabolism & Immune Cell Energy DynamicsView internship →
Glycolysis and Inflammatory Response Mechanisms
This internship focuses on the central role of aerobic glycolysis in driving inflammatory activation of macrophages and neutrophils, including studies on metabolic reprogramming during immune challenge. Interns will employ isotope tracing, gene expression analysis, and functional assays to link glucose metabolism to cytokine production and antimicrobial capacity.
Immunometabolism & Immune Cell Energy DynamicsView internship →
Nutrient Sensing and Immune Tolerance in Tumor Microenvironments
Interns will explore how nutrient scarcity (glucose, amino acids, iron) in tumor microenvironments shapes immune cell metabolism and promotes regulatory T cell expansion and effector T cell dysfunction. They will develop assays to measure nutrient competition between cancer cells and immune populations and evaluate metabolic interventions for immunotherapy enhancement.
Immunometabolism & Immune Cell Energy DynamicsView internship →
In Vitro T-Cell Activation and Proliferation Assays
Interns will design and execute T-cell activation assays using flow cytometry and ELISPOT techniques to evaluate immune responses against biologic therapeutics. They will learn to culture human peripheral blood mononuclear cells (PBMCs), perform antigen stimulation, and analyze cytokine production and cell surface marker expression to assess immunogenicity potential.
Immunogenicity Testing of BiologicsView internship →
Antibody Response Characterization and Epitope Mapping
Interns will conduct studies to detect and characterize anti-drug antibodies (ADA) using ELISA, surface plasmon resonance (SPR), and mass spectrometry techniques. They will perform epitope mapping experiments to identify specific regions of biologics that trigger humoral immune responses and understand the structural basis of immunogenicity.
Immunogenicity Testing of BiologicsView internship →
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