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universities. Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular
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competitive level Proficiency in a scripting language like R or Python, as well as ability to work efficiently in a Linux command-line environment and on high performance computer clusters Excellent
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biological safety protocols. Supporting the operation and further development of the toxicological research infrastructure within the SciLifeLab environment, as well as leading or participating in grant
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of large-scale multi-omics cancer data. Proven experience in development of bioinformatics tools and software packages. In-depth knowledge in NGS data processing from whole genome sequencing and RNA-seq
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sinks, recent research has shown that they can also emit methane, nitrous oxide, and underexplored VOCs. Microbial activity is key to these emissions, but we need to understand how different processes