PhD in Genomic Breeding for Nitrogen-Efficient Cattle

Aarhus University (AU); Aarhus; On-site; DKK 335,000 - 379,000; Full time

Job summary

Aarhus University, Centre for Quantitative Genetics and Genomics (QGG), invites applications for a PhD project focused on nitrogen efficiency through genetic tools in dairy cattle. The PhD leverages CFIT phenotyping and Danish cattle data to advance breeding values while considering productivity, health, fertility, and resilience traits.

The project applies AI and advanced statistical genetics to support sustainable, economically viable Danish dairy farming and invites MSc graduates to apply by

Qualifications

• Master's degree (120 ECTS) in Animal Breeding.
• Experience with data handling and genetic analysis software.
• Fluent English in speaking and writing.
• Experience with livestock data is an advantage.

Responsibilities

• Develop genetic tools to enhance nitrogen efficiency, resilience, eating dynamics, and feed efficiency.
• Utilize CFIT 3D phenotyping data and the Danish Cattle Database.
• Apply advanced statistical methods and AI in genomic breeding value development.
• Support management and breeding decision-making for dairy farmers.

Skills

Master's degree in Animal Breeding

Data analysis: R SAS Python Unix Shell

Genetic software: DMU BLUPF90 AIREML

Livestock data experience

English fluency

Education

Master's degree in Animal Breeding

Tools

DMU

BLUPF90

AIREML

R

SAS

Python

Unix Shell

Job description

Aarhus University, Centre for Quantitative Genetics and Genomics (QGG), invites applications for a PhD project focused on nitrogen efficiency through genetic tools in dairy cattle. The PhD leverages CFIT phenotyping and Danish cattle data to advance breeding values while considering productivity, health, fertility, and resilience traits.

The project applies AI and advanced statistical genetics to support sustainable, economically viable Danish dairy farming and invites MSc graduates to apply by