Re-advertisement: Genetic Improvement of Dairy Cow Longevity, Using Large-Scale Body Weight Data from an AI-Camera System (Lo...

This mid-level research position requires expertise in genetic improvement and animal science, specifically focused on dairy cow longevity. Candidates should have a strong foundation in genetics and quantitative analysis, with the ability to work with large-scale biological data. Experience with body weight data collection and analysis is essential, particularly using advanced technologies such as AI-driven camera systems for automated data acquisition. Proficiency in handling and interpreting large datasets, as well as applying statistical and computational methods to genetic improvement programs, is critical. A master's degree in a relevant field such as animal science, genetics, bioinformatics, or agricultural science is required, reflecting a solid academic background in both theoretical and applied aspects of genetic research. The role demands familiarity with AI technologies and their integration into livestock monitoring systems, emphasizing skills in data science, machine learning, or computer vision as applied to animal phenotyping. Strong analytical skills, attention to detail, and the ability to collaborate within multidisciplinary teams are important. Experience points indicate a moderate level of professional experience, suggesting the candidate should be capable of independently managing research tasks and contributing to project development. Overall, the ideal candidate will combine genetic expertise with practical experience in AI-based data collection systems to advance the genetic improvement of dairy cattle longevity through innovative, data-driven approaches.