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the ERC Starting Grant research project “Exploiting Nanopore sequencing to discover what microbes eat (NanoEat)” with the aim to combine state-of-the-art metagenome sequencing with state-of-the-art data
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. This ambitious initiative aims to partition the genetic risk of metabolic diseases by integrating multi-modal single-cell sequencing, spatial omics, and large-scale GWAS datasets. The project will be based
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the ERC Starting Grant research project “Exploiting Nanopore sequencing to discover what microbes eat (NanoEat)” with the aim to combine state-of-the-art metagenome sequencing with state-of-the-art data
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the Oxford Nanopore sequencing platform and improve genome recovery from metagenomes by developing new binning algorithms based on machine learning. The postdoc will be part of the Microbial Metagenomics group
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members. You will collaborate closely with immunology research groups and external stakeholders to align the yeast engineering with direct applications and emerging needs in immunological research
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facilities (e.g., sequencing, proteomics and imaging) and extensive expertise in functional genomics, gene-regulatory mechanisms and cancer biology. This international, well-equipped, highly ambitious and
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sequencing, and genome-wide CRISPR functional screening in both mouse models and clinical samples. Working closely with computational biologists and clinicians, this interdisciplinary project offers
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can use and combine various cutting-edge data modes such as single-cell ATAC-seq, single-cell RNA-seq, spatial gene expression, and whole-genome sequencing. The candidate will get the opportunity
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Unit , an international, ambitious, and well-resourced working environment. We have access to state-of-the-art facilities for flow cytometry, next generation sequencing, spatial and single-cell
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methane concentrations Bioelectrochemical systems Sensitive oxygen measurement methods, including electrochemical microsensors and optodes Transcriptomic sequencing and bioinformatic analysis