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Life Sciences Internship Topics

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Life Sciences Internships with Accommodation

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

Showing 1–12 of 45 internship topics
Computational Protein Design and Folding
Interns will work on designing novel protein sequences using machine learning models and computational algorithms to predict 3D structures. They will validate computational predictions through molecular dynamics simulations and contribute to developing more efficient protein engineering pipelines for synthetic biology applications.
AI Synthetic Life ResearchView internship →
Synthetic Genome Assembly and Gene Synthesis
Interns will participate in the design, assembly, and optimization of synthetic DNA sequences for creating minimal or artificial genomes. They will work with bioinformatics tools to analyze genome architecture, design genetic circuits, and contribute to the synthesis and characterization of engineered organisms.
AI Synthetic Life ResearchView internship →
AI-Driven Drug Discovery and Molecular Screening
Interns will apply machine learning algorithms to predict molecular interactions, screen potential drug candidates, and optimize compound properties for therapeutic applications. They will work with large chemical and biological datasets to accelerate the discovery of novel therapeutics using AI-powered platforms.
AI Synthetic Life ResearchView internship →
Metabolic Engineering and Pathway Optimization
Interns will use computational tools to model and optimize metabolic pathways in synthetic organisms for producing valuable biochemicals, biofuels, or pharmaceuticals. They will analyze flux balance models, design genetic modifications, and work on improving the efficiency and yield of engineered metabolic networks.
AI Synthetic Life ResearchView internship →
Synthetic Cell and Organelle Engineering
Interns will investigate the creation of artificial cellular systems and minimal cells through computational design and laboratory synthesis. They will work on engineering artificial organelles, programming cellular behavior using synthetic gene networks, and exploring the boundaries of what constitutes living systems.
AI Synthetic Life ResearchView internship →
Machine Learning for Coral Reef Health Monitoring
Interns will develop and train AI models to analyze underwater imagery and satellite data for early detection of coral bleaching and disease. They will work with real datasets from monitoring programs to classify coral health status and predict ecosystem degradation patterns.
AI Marine Life Science ResearchView internship →
Automated Species Identification in Fisheries Data
Interns will build computer vision systems to automatically identify and classify fish species from sonar, camera trap, and acoustic recordings collected during marine surveys. This work supports sustainable fisheries management and biodiversity assessments in ocean ecosystems.
AI Marine Life Science ResearchView internship →
Deep Learning for Marine Organism Movement Tracking
Interns will implement neural networks to analyze tracking data from tagged marine animals (whales, sea turtles, sharks) to predict migration routes and identify critical habitats. They will contribute to conservation strategies by modeling movement patterns and behavioral responses to environmental changes.
AI Marine Life Science ResearchView internship →
Genomic Data Analysis and Population Genetics Modeling
Interns will use bioinformatics tools and machine learning algorithms to analyze DNA sequencing data from marine organisms to assess genetic diversity and population structure. Their work will help identify conservation priorities and understand adaptation to changing ocean conditions.
AI Marine Life Science ResearchView internship →
Acoustic Signal Processing for Marine Biodiversity Assessment
Interns will develop AI algorithms to process underwater acoustic recordings for automated detection and classification of marine species vocalizations and environmental sounds. This non-invasive monitoring approach supports large-scale biodiversity surveys and ecosystem health assessments.
AI Marine Life Science ResearchView internship →
Monoclonal Antibody Production and Characterization
Interns will learn hybridoma technology and recombinant DNA methods to produce monoclonal antibodies against specific antigens. They will perform characterization assays including ELISA, Western blotting, and flow cytometry to validate antibody specificity and affinity.
Immunology Antibody Development ResearchView internship →
Antibody Engineering and Humanization
Interns will work on modifying antibody structures through CDR grafting, framework engineering, and affinity maturation techniques to improve therapeutic potential. They will use computational modeling tools and site-directed mutagenesis to design enhanced antibody variants.
Immunology Antibody Development ResearchView internship →
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