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Field
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. software and parallel computing is required. Skills in data processing and visualizing the results of quantum-chemical simulations are strongly desired. The candidates experienced in software
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skills including programming (e.g., bash, Python, R) and command-line interface in Unix/Linux environments - Experience with bioinformatics pipelines for DNA sequencing data analysis (e.g., variant calling
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, microbiology, biotechnology, ecology, bioinformatics, or related disciplines. Experience with DNA-based analytical methods (e.g., qPCR, sequencing, metabarcoding, or eDNA) is required. Previous work with
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principles, and computer-based analysis methods. The research will include investigating aggregated data from genetics, archaeology and linguistics Requirements PhD degree in Population genetics
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analysis of metagenomic data in studies, as well as interpretation and presentation of the results. To achieve this, you will need, among other things, expertise in advanced bioinformatic and statistical
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proteomics. Possess proficiency in R programming for statistical and bioinformatics applications. Have experience in scientific writing, including manuscript preparation, submission, and peer review processes
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with other parallel projects and industrial partners, which means that strong collaborative skills are necessary. The successful candidate is expected to be able to disseminate and communicate scientific
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effectively with research institutes, industry, colleagues and other stakeholders. The work requires initiative, independence and responsibility. The project interacts closely with other parallel projects and
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preparation in the lab and bioinformatic/statistical analyses of next-generation sequence data. The project will be conducted in collaboration with Prof. Göran Arnqvist (Evolutionary Biology Centre, Uppsala
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artery disease at an earlier age compared to women not affected by these complications. However, the etiology behind this process is unclear. The scholarship recipient will under supervision gain training