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Ancient DNA extracted from sediments and other environmental sources is an emerging and fast-moving field that has the potential to revolutionize our ability to reconstruct past communities at unprecedented temporal resolution. However, computational methods for processing, identifying, and analyzing total ancient DNA from sediments are still rudimentary. The goal of the position is to therefore develop novel bioinformatic methods for the optimal processing of metagenomic sequence data generated from complex and degraded biological remains. The project will use a combination of published and recently generated data sets from lake, cave, permafrost, and archaeological sites across the Pleistocene and Holocene of Europe, Asia, and North America, as well as simulated data sets to test and verify the developed methods. You will gain expertise in bioinformatics, metagenomics, ancient DNA/palaeogenomics, molecular biology, palaeoecology, and analysis of large genomic data sets.

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