Project: Developing Generative Artificial Intelligence for designing RNA
Coin Group
Generative Artificial intelligence provides exciting new approaches for designing biomolecules which have desired properties. This project will use data on RNA structure to train generative AI models for synthesising RNA molecules with desired enzymatic or regulatory properties.
Contact project supervisor for further
information and application enquiries
Coin Group
3 vacancies
The Coin group applies genomic sequencing to characterise and understand the dynamics of human and bacterial genomics and transcriptomics. We utilise long-read, real-time sequencing for detection and characterization of bacterial pathogens direct from samples, and are leaders in the development of host immune response biomarkers for detection of bacterial and viral infections.We develop and use algorithmic approaches for analysis of high throughput sequence data.
Coin Group Current Projects
-
Understanding the transcriptomic dynamics that govern the infective process of Mycobacterium tuberculosis
PhD/MPhil
-
Development and optimisation of methods for direct-sample capture of bacterial pathogens for long-read sequencing
PhD/MPhil
-
Bacterial pan-genome graphs for variant discovery and RNAseq for drug resistance prediction
PhD/MPhil
-
Developing Generative Artificial Intelligence for designing RNA
PhD/MPhil, Honours
Research degrees at the Doherty Institute are administered by the University of Melbourne.