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Aarhus University is seeking two postdoctoral fellows for the Novo Nordisk Foundation CO2 Researc...
background in quantitative experimental microbiology. Experience in anaerobic microbiology as well as in metabolomics, proteomics, stable isotope probing (SIP) or genetic characterization of evolved strains
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background in quantitative experimental microbiology. Experience in anaerobic microbiology as well as in metabolomics, proteomics, stable isotope probing (SIP) or genetic characterization of evolved strains
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response and adverse events using an integrated multi-omics approach that combines genomics, epigenomics, transcriptomics, proteomics, and metabolomics data. Alongside molecular profiling, we will
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relevant related techniques such as microscopy, transcriptomics or metabolomics (highly desirable) A strong interest in cellular agriculture/cultivated meat is essential, although specific prior experience
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has: A PhD in translational and laboratory medicine within the field of IBD. Proven expertise in omics data analysis, including proteomics and metabolomics data (R/RStudio, multivariate and regression
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. Experience with structural biology (cryo-EM or crystallography), chromatography, mass spec-based targeted metabolomics, assay development, lipid biochemistry or immunology would be considered assets. The lab
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metabolomics. We support career development, as well as continuous mentoring opportunities. How to apply Send your application as one pdf file by email to systemsmicro.recruitspam prevention@cmfi.unituebingen.de
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publications describing results. Implements and analyzes single cell RNA-Sequencing, single cell ATAC-Seq, CITE-Seq, as well as bulk RNA-Seq, Proteomics, and Metabolomics generated from mouse and patient cohorts
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contribute to interdisciplinary projects integrating genetics, multi-omics (metabolomics, proteomics, transcriptomics), quantitative genetics (GWAS/QTL), and molecular biology in maize and Arabidopsis. Current
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long-term health outcomes among survivors of European and African ancestries; 2) analyses of multi-omics (genomics, transcriptomics, proteomics, and metabolomics) and system genetics (e.g., eQTLs