ASCEND
BY NTHRYS

NTHRYS › Internships

Ai Viral Genomics

Ai Viral Genomics
Category
Focused area
Variant
Pay · Join
Step 2 of 5Choose category
Field
▾
Category
▾
Focused area
▾

Ai Viral Genomics

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).

Internship Types — tap to learn more
Mode — tap to learn more
Duration — tap to learn more
🔍

Showing 1–20 of 50

AI Viral Genome Evolution Tracking Research
Internship tracking viral genome evolution with AI phylogenetics across sequencing streams. Guided practice with real datasets throughout.
5 focused areasClick to view more details →
Machine Learning for Viral Quasispecies Research
Internship analysing viral quasispecies with ML that resolves swarms within single infections. Interns practise on genuine research problems.
5 focused areasClick to view more details →
AI Viral Recombination Detection Research
Internship detecting viral recombination with AI methods that spot mosaic genome structures. Practical exercises anchor every concept taught.
5 focused areasClick to view more details →
Deep Learning for Viral Phylodynamics Research
Internship modelling viral phylodynamics with deep methods linking genomes to epidemic spread. Hands-on work runs alongside theory modules.
5 focused areasClick to view more details →
AI Viral Immune Evasion Mutation Research
Internship studying immune escape mutations with AI models of antibody binding under change. Includes mentored hands-on analysis sessions.
5 focused areasClick to view more details →
AI Metagenomics Novel Virus Discovery Research
Internship discovering novel viruses in metagenomes with AI detection of divergent sequence. Interns practise on genuine research problems.
5 focused areasClick to view more details →
AI Viral Transmission Network Analysis Research
Internship reconstructing transmission networks with AI from viral genomes and epidemiology. Interns work with realistic case datasets.
5 focused areasClick to view more details →
AI Antiviral Target Identification Research
Internship identifying antiviral targets with AI analysis of viral proteins and host dependencies. Hands-on work runs alongside theory modules.
5 focused areasClick to view more details →
AI Pandemic Preparedness Viral Genomics Research
Internship building pandemic-ready viral genomics with AI surveillance and variant flagging. Applied sessions reinforce each technique.
5 focused areasClick to view more details →
AI Zoonotic Virus Spillover Genomics Research
Internship studying spillover genomics with AI comparison of animal and human virus lineages. Mentor-led sessions build applied skill.
5 focused areasClick to view more details →
AI Viral Sequence Assembly Optimization Research
Developing machine learning algorithms to improve de novo assembly of fragmented viral genomic sequences from next-generation sequencing data.
5 focused areasClick to view more details →
Deep Learning Viral Protein Structure Prediction
Training neural networks to predict three-dimensional structures of viral proteins from genomic sequences for drug target discovery.
5 focused areasClick to view more details →
AI Viral Mutation Rate Classification Research
Using machine learning to classify and predict mutation rates across different viral families based on genomic characteristics.
5 focused areasClick to view more details →
Natural Language Processing Viral Literature Mining
Applying NLP techniques to extract viral genomics insights and epidemiological patterns from scientific literature and public health databases.
5 focused areasClick to view more details →
AI Viral Tropism Prediction From Genomics
Developing machine learning models to predict tissue and cell type tropism of viruses based on their genomic sequences.
5 focused areasClick to view more details →
Graph Neural Networks Viral Interaction Mapping
Constructing graph-based models to map protein-protein interactions between viral and host cell components using genomic data.
5 focused areasClick to view more details →
AI Real-Time Viral Surveillance Systems Research
Building machine learning pipelines for real-time detection and tracking of emerging viral variants from global sequencing data streams.
5 focused areasClick to view more details →
Reinforcement Learning Vaccine Design Optimization
Using reinforcement learning to optimize vaccine sequence design against viral genomic variants and predict immunogenicity.
5 focused areasClick to view more details →
AI Viral Epistasis Interaction Network Research
Applying machine learning to identify and model genetic interactions between viral mutations affecting phenotype and fitness.
5 focused areasClick to view more details →
Anomaly Detection Unexpected Viral Mutations
Developing unsupervised learning algorithms to identify statistically anomalous viral mutations in population-level genomic data.
5 focused areasClick to view more details →