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The post holder will lead the development and application of predictive breeding and quantitative genetics approaches within the AFBI grass breeding research programme. This will include driving the design and implementation of genomic selection and
The role will play a central leadership function in directing and managing AFBI’s livestock genetics and breeding research programme, with a particular emphasis on the development and demonstration of robust, data-driven solutions to support sustainable
Support EUMETSAT internal and external users by creating data pipelines and curated ML-ready datasets with needed data content, quality, format, and structure for each use case; Develop, train, apply, and validate machine-learning models and other