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of neurodegeneration, totaling to over 1,500 human brain samples. Using an array of -omics techniques, e.g. long read DNA sequencing, single nuclei transcriptomics and multi-modal proteomics, the team aims to identify
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to mentoring junior lab members and participate in grant writing and dissemination activities Develop and execute strategies for cloning, genotyping, RNA sequencing, stress assays Contribute to a collaborative
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disease. Key responsibilities Lead and conduct the processing and statistical analysis of large-scale long-read RNA and DNA sequencing, single nuclei RNA sequencing and spatial transcriptomics
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functional screens and read out mutation identities via barcode sequencing. By providing a direct link between sequence and function MAGESTIC enables massively scaled screens of precise mutations, with
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for identification of targets for early detection, prevention or treatment of Alzheimer’s disease. Position Lead and conduct the processing and statistical analysis of large-scale long-read RNA and DNA sequencing
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or treatment of Alzheimer’s disease. Position Lead and conduct the processing and statistical analysis of large-scale long-read RNA and DNA sequencing, single nuclei RNA sequencing and spatial transcriptomics
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short- and long-read whole genome sequencing datasets. This position provides the opportunity to develop and apply advanced bioinformatics tools and conduct innovative analyses, including integrating long
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aligning research proposals with the LINES research group, and develop the postdoctoral researcher’s own research agenda. The ideal candidate will: Contribute to ongoing projects and develop new lines
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to indicate the alignment of their interest and expertise with one or several of these topics. Candidates should have obtained their PhD degree no longer than six years before the start of the appointment
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. Profile You hold a PhD in Life Sciences and preferably in Veterinary Medicine or Bioscience Engineering (or you will have obtained it by the time you start work). Your research qualities align with