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Raymond Louie

Top university

2 months ago

Fully Funded PhD in Bioinformatics, Computational Biology, and Single-cell Multi-omics at UNSW Sydney University of New South Wales in Australia

Degree Level

PhD

Field of study

Computer Science

Funding

The position is fully funded, covering stipend and tuition. No further financial details are specified.

Deadline

Expired

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Country

Australia

University

University of New South Wales

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Where to contact

Official Email

Keywords

Computer Science
Biology
Mathematics
Mathematical Modeling
Computational Biology
Python Programming
Statistics
Bioinformatic

About this position

A fully funded PhD position is available in the research group of Raymond Louie, Lecturer in Bioinformatics and Computational Biology at UNSW Sydney. The project centers on developing novel computational and statistical algorithms to identify molecular drivers of cellular evolution using single-cell multi-omics data. Key research themes include single-cell multi-omics, cellular evolution and state transitions, and bioinformatics algorithm and method development. The ideal candidate will have a background in computer science, mathematical modeling, statistics, bioinformatics, or related fields, with strong programming skills in Python or R and a keen interest in developing new methods for biological discovery. The position is based at the School of Computer Science and Engineering, University of New South Wales, Australia. The role offers full funding, including stipend and tuition coverage. To apply, candidates should send an Expression of Interest, CV, and academic transcripts to [email protected] by January 30, 2026. Only successful candidates will be contacted for interview. This opportunity is ideal for students interested in bioinformatics, computational biology, single-cell analysis, and algorithm development in a leading Australian research environment.

Funding details

The position is fully funded, covering stipend and tuition. No further financial details are specified.

What's required

Applicants should have a background in computer science, mathematical modeling, statistics, bioinformatics, or related fields. Programming skills in Python or R are preferred. Candidates should be interested in developing new computational and statistical methods for biological discovery. Submission of an Expression of Interest, CV, and academic transcripts is required.

How to apply

Send your Expression of Interest, CV, and academic transcripts by email to [email protected]. Only shortlisted candidates will be contacted for interview.

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