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, Computer Science, Applied Mathematics and Statistics, or a closely related field. Programming proficiency in at least one scientific language, preferably Python or Julia. Strong background in operational research
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or in a related quantitative field (e.g. Mathematics, Physics, Statistics), with documented experience in analysing, interpreting bulk and single-cell sequencing datasets. Prior experience with data
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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 collaboration
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