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, effective use of omics technologies, including sequence- and chemical omics. Translation of basic research into applications of industrial and/or environmental relevance, High throughput screening and data
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biology, effective use of omics technologies, including sequence- and chemical omics. Translation of basic research into applications of industrial and/or environmental relevance, High throughput screening
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Bioinformatics Staff Scientist at the Center for Adipocyte Signaling (ADIPOSIGN) (Academic Employee)
of factor binding, epigenetic marks and chromatin structure with detailed molecular analyses of the crosstalk between transcriptional regulators. We run an inhouse sequencing platform including single cell
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altering species compositions and interactions. At the same time, environmental DNA (eDNA) sequencing has become an increasingly efficient approach for obtaining biological information. As part of a new
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, proteomic, metabolomic, and other multi-omics datasets. Some experience running comparative genomics, metagenomics, and next-generation sequencing (NGS) analyses. Implement and maintain data workflows
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external research funding, and a demonstrated ability to work across disciplines. The candidate will be attached to both the Department and DIAS and should be prepared to engage in multiple and diverse
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genomics and biogeography. This process will require textual, semantic, geographic, and sequence data analysis and integration. You will help establish standards for metadata quality based on semantic
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in advanced multicolour spectral flow cytometry, including multi-parameter sorting and single cell sequencing technologies. Strong experience in bioinformatics, large-scale data analysis and the
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-gen sequencing, bioinformatics, microscopy, single cell genomics, histology and access to spatial transcriptomics and pathology services. Additional core facilities are available at faculty level. A
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National Food Institute. We are currently developing a massive web application for users world-wide to store and share their sequencing data as well as running bioinformatics pipelines to analyse and