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together with advanced computational tools. The postdoc will work closely with other members of the team in mining MS data and collaborate with a computational team in the design and building
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, transportation, and product consumption with domain specific databases on e.g. food consumption from DTU-food, or housing consumption Use data mining to collect data on properties and contents for products
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biosynthesis. Previous hands-on experience with LC-MS, MALDI and NMR is advantageous. Experience in genome-mining and genetic handling is advantageous. Experience in large metabolomics data handling is
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epidemiologists directly with frontline diagnosticians and bioinformaticians through the creation of infrastructures for combining and mining the vast and rapidly expanding public epidemiological and genomic data
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to mining, and geopolitical issues. Therefore, research on alternative rare-earth free magnets is a top priority and paramount for green and sustainable growth. In the project from the Independent Research
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, ChIP-seq) from ES/iPS differentiation to neuronal and glial cells. This will include mining, reanalyzing public datasets and also in-house datasets. The candidate is expected to set up workflows
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heterologous protein expression using microbial systems, protein purification and characterization, and bioinformatics for data mining will be preferred. Please indicate in your application which of the three
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compound production, and microbial foods through experimental and computational design approaches. Your primary tasks will include: Generating large-scale pangenomes and mining them for genes and pathways
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to develop novel biosustainable solutions using cutting-edge research approaches. Responsibilities: Engineer yeast strains to assimilate C1 feedstocks. Perform genome mining to identify enzyme candidates using
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supply chains, pollution due to mining, and geopolitical issues. Therefore, research on alternative rare-earth free magnets is a top priority and paramount for green and sustainable growth