Post-Doc : Biostatistics and genomics (Lund)

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In the human population genetics project, we aim to develop an ML method that compares the similarity of ancient genomes to predict their age with the goal of dating ancient Viking genomes. In the plant genomics project, we are interested in developing an optimized system of using DNA and RNA NGS and mapping data to identify genes associated with how a crop plant responds to a biotic treatment for biocontrol and biostimulation. This is a multi-disciplinary project involving programming and modelling. In addition, the project will involve collaborations with researchers in other disciplines, including biomathematics, biostatistics, and molecular biology. The candidate is expected to have a strong grounding in programming in R and math/statistics.

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