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data, quality assessment/filtering, alignment and variant detection. Experience with long-read (PacBio/ONT) NGS sequencing, genome assembly and annotation Strong competence in programming (shell/python/R
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laboratory work. Experience with molecular biology techniques, such as RNA sequencing (from RNA extraction to data analysis) Experience with immunohistochemistry Experience in using R, python or similar
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– Ultrahigh-throughput exploration of metagenomic sequence space to discover and engineer novel biocatalysts and bioactive compounds, coordinated by the University of Cambridge in England. The MetaExplore
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garden experiments to test how plant performance is determined by plant genotype, the environment (above- and belowground parasite and warming in different combinations and sequences), and their
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parasite and warming in different combinations and sequences), and their interaction. Plant performance will be assessed by measuring life history traits and fitness and using hyperspectral imaging of both
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extractions, nanopore sequencing and quality control Experience working with metatranscriptomic or metagenomic data Experience using Linux and bioinformatics approaches, including binning and functional gene
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involve a combination of herbarium study, fieldwork including collections and threat assessments, lab work including DNA processing for high-throughput sequencing, bioinformatics including phylogenetic
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processing for high-throughput sequencing, bioinformatics including phylogenetic analysis and coalescent based species inference, and synthesis in the form of a formal revision. Supervisors: Prof. Michael D
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Skłodowska-Curie Actions Doctoral Network (MSCA-DN) project MetaExplore – Ultrahigh-throughput exploration of metagenomic sequence space to discover and engineer novel biocatalysts and bioactive compounds
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contribute to visual adaptation in wild-living mammals. We will combine optical measures and imaging of the retina with long-read sequencing of X-chromosome opsin genes within an evolutionary ecology/biology