Novel genomic assessments for finding true DNA variants contributing to the difference in beef cattle fertility

Key details

• Host institution: University of Queensland
• Location: University of Queensland, Brisbane, Australia, Agriculture
• Supervisor / contact: Dr Loan Nguyen
• Supervisor email: [email protected]

Funding

$37,500 per annum

How to apply

• Application portal / instructions: Official application link.
• Context on Euraxess: Original listing.

About the position

This PhD project at the University of Queensland focuses on developing novel genomic assessments to identify true DNA variants that contribute to differences in beef cattle fertility. The research will employ advanced sequencing technologies to distinguish genuine genetic variants from sequencing artifacts, ultimately aiming to improve the accuracy of genomic selection for fertility traits in beef cattle populations.

Research Context

Fertility is a critical economic trait in beef cattle production, yet the underlying genetic architecture remains poorly understood. Current genomic approaches often fail to distinguish true causal variants from background noise. This project will leverage state-of-the-art sequencing methods and bioinformatic analyses to pinpoint the specific DNA variants that genuinely influence fertility differences. The findings could lead to more reliable genomic predictions and accelerate genetic improvement in beef herds.

Candidate Profile

We are seeking a highly motivated candidate with a strong background in genetics and bioinformatics. The ideal applicant will have experience in genomic data analysis, familiarity with next-generation sequencing data, and an understanding of quantitative genetics. Prior experience with livestock genetics or reproductive biology is advantageous but not essential.

Duties and Responsibilities

• Design and implement bioinformatic pipelines for processing and analyzing sequencing data from beef cattle populations
• Develop statistical methods to distinguish true genetic variants from sequencing errors
• Validate identified variants using independent datasets and functional assays
• Collaborate with industry partners to ensure research outcomes are applicable to practical breeding programs
• Prepare manuscripts for publication in peer-reviewed journals and present findings at conferences

Eligibility Requirements

• Bachelor’s degree in genetics, bioinformatics, animal science, or a related field (Master’s degree preferred)
• Demonstrated knowledge of molecular genetics and genomic data analysis
• Proficiency in programming languages such as Python, R, or Perl
• Excellent written and verbal communication skills in English
• Meet University of Queensland PhD admission requirements, including English language proficiency

Funding and Benefits

The successful candidate will receive a living stipend and full tuition fee coverage for the duration of the PhD program (typically 3.5 years). Additional funding may be available for research costs, conference travel, and professional development activities.

How to Apply

Interested applicants should submit a cover letter, curriculum vitae, academic transcripts, and contact details for two academic referees. Applications are reviewed on a rolling basis until the position is filled. For further details, please refer to the original listing on the University of Queensland website or contact the project supervisor directly. The application link is provided in the original job advertisement.