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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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and clinical outcome through comprehensive tumor profiling. The project integrates spatial transcriptomics, long-read sequencing, DNA methylation analysis, and microbiome profiling to gain a deeper
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strengths and expertise. Before applying, potential applicants are encouraged to reach out to PI Katrine Ellemose Lindvig to discuss how their background and experience might align with the position. It is
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ontologies and knowledge graphs that represent the data structures and processes across our facilities. A key part of your role will be to ensure alignment with best practices and existing community standards
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international quality, including publication. Single cell RNA sequencing and data analysis Characterization and production of monoclonal antibodies Flow cytometry Confocal microscopy qPCR In vitro cell cultures
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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
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: Experience with bioinformatics and statistical analyses of whole genome sequencing or other genomic data A strong conceptual background in evolutionary biology and population genetics Good writing skills and
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: Experience with bioinformatics and statistical analyses of whole genome sequencing or other genomic data A strong conceptual background in evolutionary biology and population genetics Good writing skills and