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(completed within the last 5 years) Demonstrated experience in educational research methodologies (quantitative, qualitative, or mixed methods). This includes skills relating to: Statistical analysis
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. Hands‑on experience with field trial design and management, plant phenotyping, and laboratory workflows (e.g., DNA extraction, genotyping) for breeding applications. Proficiency in statistical analysis
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phenotyping, and laboratory workflows (e.g., DNA extraction, genotyping) for breeding applications. Proficiency in statistical analysis and data workflows using relevant tools (e.g., R, Python, ASReml, mixed
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of Animal and Veterinary Bioscience. This role will contribute to advancing research through the design, conduct, and analysis of in vitro testing and intensive animal trials, as well as the preparation
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making and machine learning, with real-world testing and feedback. The successful applicant will work on decision making for anomaly detection, behaviour analysis and surveillance decisions, under
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imaging; classical imaging; multiphoton imaging; the development and application of numerical methods of deep learning or multivariate analysis. Interdisciplinary experience with projects that overlap
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. Experience in one of more of: advanced optical imaging; classical imaging; multiphoton imaging; the development and application of numerical methods of deep learning or multivariate analysis. Interdisciplinary