Supervisors
- Position
- Senior Research Fellow/Group Leader
- Division / Faculty
- Faculty of Health
Overview
Metagenomics data is complex, high-volume data and keeps evolving, requiring novel computational method development as the wetlab approaches changes and databases grow. Thus, novel computational methods are required to take advantage of them.
There are several potential projects under this topic, including:
- using deep learning to improve metagenomics assembly
- developing better tools to analyse the presence of resistance genes in metagenomics data
- developing approaches for estimating the quality of genomes from novel generation sequences
- predicting the function of small sequences using more than just sequence.
Interested applicants are encouraged to contact the supervisor to discuss what exact project best fits their background and interests.
We aim to have our methods be adopted by the wider microbiome research community. Thus, we implement them in high-quality tools to maximise the positive impact of our research.
Research engagement
Research activities include (depending on the exact project defined):
- developing new machine learning-based algorithms
- developing new string processing algorithms
- implementing these in a tool using Python or Rust
- benchmarking the methods against state-of-the-art alternatives
- collaborating with experimentalists to apply new methods while improving them.
Outcomes
Projects under this topic will result in new algorithms, their implementation in an open source tool for widespread use, and their benchmarking against the state of the art. The results will be published in a scientific journal and communicated at conferences and in online materials.
Skills and experience
The applicant should have programming skills and an interest in learning about biology.
Start date
1 November, 2024End date
21 February, 2025Scholarships
You may be eligible to apply for a research scholarship.
Explore our research scholarships
Keywords
Contact
Contact the supervisor for more information.