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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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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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, 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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, and documentation) The successful applicant should have: PhD in Computer Sciences or any relevant field with basic knowledge in life sciences Proficiency in programming in a broad range of languages
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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