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investigating potential vaccination strategies for poultry. Methods from classical statistics, spatial statistics, machine learning and simulation modelling may be used as necessary to meet the objectives
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department with strong research sections in the areas of Human-Centred Computing ; Algorithms and Complexity ; Machine Learning ; Natural Language Processing ; Software, Data, People, and Society ; Programming
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, geometry processing, and a keen interest in applying machine learning techniques to solve these complex and critical medical challenges. The successful candidate for this postdoctoral position will be
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possibility for further extension. The successful candidate will engage in developing innovative biomechanical models and simulation techniques, integrating these with machine learning. This exciting
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collaboration with computer scientists and Industry, create new solutions and tools Define a wide range of storage and computing solutions to facilitate efficient data management and extraction Implement robust
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preparation. Ability to work effectively independently as well as collaboratively. Ability to learn and develop new skills related to specimen and data management. Good communication skills. Experience working
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(AgroEcoHPM), ensuring access to databases, improved tools for optimisation, statistical analysis, coupling with machine learning, development of documentation and educational tools and other improvements