PhD Studentship: AI Based Prediction of Splice Site Selection
Core
Develop AI-based models using deep learning and large language models to predict splicing sites and alterations by integrating genomic sequence analysis with RNA sequencing data.
Role type
PhD Researcher (Computational Biology/Genomics)
Builds
Predictive models for pre-mRNA splicing mechanisms
Domain
Genomics, Molecular Biology, Deep Learning
Deliverable
research
Required skills
deep learning, large language models, genomic sequence analysis, RNA sequencing data integration, Python (implied by field), statistical analysis
Preferred skills
prior biological knowledge, experience with C. elegans or human cell data
Technologies
deep learning frameworks, large language models
Responsibilities
Develop AI models to predict splicing sites, integrate genomic and RNA-seq data, contribute to teaching activities for BSc/MSc courses
Seniority
PhD Candidate (Researcher)
