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research applications Experience in planning and conducting field-work Experience in planning and conducting laboratory work within soil molecular analysis and bioinformatics, including qPCR, 16S rRNA/ITS
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, computer science, bioinformatics, computational biology or biostatistics Proven expertise in machine learning applied to molecular or other high-dimensional data Experience working with IBD or other immune-mediated
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) Bioinformatics and Statistics, and (3) Data Science Methods. The postdoc will be part of the Data Science Methods group, which has a strong research focus on privacy-preserving techniques. CLINDA includes 17 core
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. Omics data handling and basic bioinformatics. Personal qualifications The successful candidate will work across plant physiology, molecular biology and microbiology and collaborate closely with the two
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main techniques include DNA extraction and sequencing, bioinformatics, sedimentology, molecular geobiology Quaternary climate, and archaeology. Further information on the Department is linked at https