Offre de thèse : Statistical methods for population genetics (Lund)

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Ancient DNA (aDNA) has changed the studies of history, enabling us to directly analyze early genetic variation. In recent years, there has been a sharp increase in the amount of collected aDNA and high-profile studies, but insufficient information about timing and geographical origin has limited the usefulness of the collected data and resulted in many erroneous reports. The project aims to develop machine learning tools to date aDNA and predict the geographical origin of the DNA material. The methods will be used to reconstruct the origin of domestic horses and their contribution to the success of Scandinavian Vikings.

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