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including WGS, single-cell, and long-read sequencing together with chromatin conformation techniques to understand how cancers mutate and evolve, which we are applying to cancer patient material in close
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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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, next-generation sequencing such as long-read sequencing, and high-throughput analysis techniques. Primary tasks: Culture human T cells and cancer cells Design multiplexed CRISPR strategies Analyse
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flexible, meaning that the postdoc will have the opportunity to design studies, in coordination with the PI, which align with the researcher’s interests and methodological skillset. The postdoc will also
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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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well as the organic matter persistence. Responsibilities and qualifications Your tasks will be to: Use bioinformatic tools to mine metagenomic datasets for enzyme-specific sequences (oxidoreductases and/or hydrolases
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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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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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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