PhD Scholarship - Improving molecular and phenotypic predictions through network-based prior knowledge and AI @ University of Queensland

Employer:   University of Queensland (ARC Centre of Excellence for Plant Success in Nature and Agriculture)

Closing date:   15/08/2024

Brief position description:
Are you interested in applying graph theory and AI algorithms to practical biological problems? If so, this PhD opportunity might be for you! This project, supervised by Dr. David Kainer at The University of Queensland, will develop and apply machine learning and AI approaches for network-assisted analyses that can improve crop development, including prediction of:
- gene-to-gene relationships
- gene editing outcomes 
- phenotypes

As part of the ARC Centre of Excellence for Plant Success in Nature and Agriculture, you will be part of a highly talented and diverse team of researchers in biology, maths, computer science and agriculture.

Job website:   https://study.uq.edu.au/study-options/phd-mphil-professional-doctorate/projects/improving-molecular-and-phenotypic-predictions-through-network-based-prior-knowledge-and-ai

Contact name: David Kainer

Contact email:  d.kainer@uq.edu.au