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Field
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molecular biological methods and bioinformatics to analyse microbial communities in both laboratory-scale and full-scale biogas processes. The aim is to identify microorganisms and microbial markers
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, geoinformatics, oceanography, or a related field as well as good knowledge in written and spoken English is a requirement. Merits are: Experience with environmental data analysis and quantitative methods, with
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About the opportunity: 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
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familiarity with downstream transcriptomic methods (e.g. RNA sequencing, RT-qPCR). Experience with live-cell fluorescence imaging, including confocal microscopy and the use of genetically encoded biosensors
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occurrence patterns, mark behaviour, and interactions between events, to vary locally in space and evolve over time. The research will include model development, statistical inference and diagnostic methods
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, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular processes to human health and global ecosystems. The SciLifeLab