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sequencing instruments into microscopes! Your mission You will join our team, a leading group in the field of DNA nanotechnology specialized in creating molecular tools for life-science research (http
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in different assemblages that varies profoundly by both geography and time. Until now it has been difficult to study multiple pathogens simultaneously, but advances in sequence methodologies and
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equipment used by multiple researchers (e.g., DNA and RNA extraction rooms, PCR machines, instruments to measure concentration and integrity of nucleic acids, and knowledge of best practices for down-stream
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of complex single-cell data. The software is designed from the ground up for a new type of data (single-cell whole-genome sequencing/metagenomics), and how to best analyze the data is an open research problem
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the genomic landscape of breast cancer using large scale tumor sequencing data. You can read more about the project on our website https://portal.research.lu.se/sv/persons/staaf-johan/. The research team is
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candidate will apply spatial transcriptomics and single-nucleus RNA sequencing to human adipose tissue biopsies to investigate cytoarchitectural features and cell-type specific changes associated with disease
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student who will work experimentally with microbial and human DNA sequencing, including associated analyses using standard bioinformatics methods. The project will also involve statistical analysis in R
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research environment and will have many opportunities to further improve current skills and develop new skills to keep up with new sequencing technologies and other bioinformatics challenges as they emerge
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sequencing data, preferably single-cell RNA-seq and/or other omics data documented skills in programming or scripting, for example in Python and/or R experience using relevant bioinformatics tools
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highly interdisciplinary setting combining microbial mutagenesis assays, mammalian cancer models, next-generation sequencing, bioinformatics, and machine learning. Experimental data will be integrated with