Post-Doc : Developing machine learning tools to analyze the origins of Viking genomes (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 the 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 predict the origins of the DNA material. The methods will be used to reconstruct the origin of Scandinavian Vikings. The candidate will work jointly with Dr. Eran Elhaik, Dr. Patrik Eden, and Prof. Eske Willerslev (at the University of Copenhagen) to develop statistical methods for paleogenomics.

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