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of rejuvenation strategies. We have established a large dataset of single cell whole transcriptomic analysis of hematopoietic progenitors and bulk RNAseq of endothelial cells from different mouse models with
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and field conditions. The practical work also includes culturing oomycetes and plants, sampling for molecular and microbiome analysis as well as bioinformatic analysis of microbial communities
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(or equivalent) in biology, bioinformatics, genetics, molecular ecology, or a related field. Solid knowledge and practical experience in molecular ecology, population genetics, and statistical and bioinformatic
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machinery) to conduct new catalytic tasks through a combination of chemical intuition and enzyme engineering. The PhD project will involve bioinformatic selection of candidate enzymes, employing a combination
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nitrogen deposition on a beech forest alters richness and functional diversity of understory vegetation and forest microbiomes (including both phyllosphere and rhizosphere). Can we observe a difference
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similarities (such as parallel micro-ridges), but also clear differences (such as presence or absence of trichomes or nectar glands on the surface). This interdisciplinary PhD project investigates (1
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mimicked with in vivo models of metastasis, which provides unique opportunities to mechanistically dissect what drives the different cell states. You will link clinically relevant phenotypes to putative
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mimicked with in vivo models of metastasis, which provides unique opportunities to mechanistically dissect what drives the different cell states. You will link clinically relevant phenotypes to putative
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) in the 5' untranslated region (5'UTR) of HIV-1. Although pro- and antiviral effects have been described, its exact role in the different RNA isoforms remains poorly understood, as short read sequencing
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involve generating high-quality, chromosome-level reference genomes for selected species using long-read and long-range technologies. Subsequently, genome-wide divergence between taxa will be quantified