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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
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.) for optimal operation using e.g. model predictive control. You will use stochastic and statistical modelling concepts together with domain-knowledge to develop such models. Afterwards, the models are used in
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will have the opportunity to influence the project based on their own ideas. Prior experience in working with fish in an experimental context is considered an asset, and proven skills in statistical
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science(e.g., mathematics, physics, computer science, etc.), a strong background in data science, statistics, or machine learning, and an interest in biomedicine. Alternatively, a candidate with a
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trials Accuracy and patience for laboratory work Experience with UPLC and Western Blotting Analytical skills and experience in statistical analysis Strong written and oral communication skills in English
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on generative AI have been suggested. The data science team under this project will develop privacy metrics based on Bayesian statistics. The overarching purpose of the legal part of the project is to develop