Prof C Tachtatzis

No summary provided for this position.

This PhD project at the University of Strathclyde focuses on the development of AI-based diagnostic agents that integrate advanced machine learning techniques with large language models (LLMs) to facilitate the early detection and management of production diseases in dairy cattle. The research aims to address key health challenges in livestock, specifically targeting conditions such as mastitis, acidosis, ketosis, and metritis, which significantly impact dairy productivity and animal welfare. By leveraging cutting-edge artificial intelligence and data-driven approaches, the project seeks to create innovative tools for monitoring and diagnosing these diseases, ultimately supporting more effective intervention strategies and improving herd health outcomes. The interdisciplinary nature of the project combines expertise in computer science, veterinary science, and agriculture, offering a unique opportunity for candidates interested in applying AI to real-world problems in animal health and agricultural technology. The position is based at the University of Strathclyde, a leading institution known for its research excellence and collaborative environment. Funding details and specific entry requirements are not provided in the current description. Interested applicants are encouraged to check the university's website for further information and updates regarding application procedures and eligibility criteria.