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includes both field work and using mathematical and statistical models on marine resources. The scholarship is part of a project financed by the EHFAF program. The project will be carried out at DTU Aqua in
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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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: Numerical methods Statistics Computational biology Markov Chain Monte Carlo Collaborative software development using modern methods and tools Collaboration is an integral part of this project, so the
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and/or live animal trials Accuracy and patience for laboratory work Analytical skills and experience in statistical analysis Strong written and oral communication skills in English Ability to work
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, Physics, Computer Science, etc.), a strong background in Data Science, Statistics, or Machine Learning, and an interest in Biomedicine. Alternatively, a candidate with a biomedical background with some