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control. Key Responsibilities Develop and optimize spatial proteomics workflows for cardiac tissue, including laser capture microdissection and LC-MS/MS analysis. Perform quantitative proteomics and data
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direct immune activation. The project integrates molecular physiology, multi-omics, and spatial systems biology to uncover the mechanistic basis of this immune-metabolic switch. The successful candidate
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the Sandelin and Falsig Pedersen laboratories, which are closely located at University of Copenhagen. Our recent work in this area includes: Spatially resolved analysis of microenvironmental gradients in cancer
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capped RNA (TLDR-seq): full-length sequencing of capped RNAs (Nucleic Acids Res 2025, doi:10.1093/nar/gkaf240 ) Spatially resolved analysis of microenvironmental gradients in cancer (Science Advances 2024
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Municipalities, which is funded by the Velux Foundation. Read Velux’s presentation of the project at: https://veluxfonden.dk/en/projekt/migrant-solidarity-network-local-dynamics-civil-society-and-municipalities
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Applications are invited for a position as postdoc in Computational Biology in the laboratory of DNRF Chair and Novo Nordisk Faculty Professor Vijay Tiwari (https://www.tiwarilab.org
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20 Nov 2025 Job Information Organisation/Company University of Groningen Department Faculty of Spatial Sciences Faculty of Spatial Sciences Research Field Demography Geography Economics Sociology
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Position as Computational Analyst / Bioinformatician in RNA Therapeutics and Cardiometabolic Disease
: Benchmarking existing and developing novel computational approaches for inference of microRNA activities from single-cell/nucleus and spatial omics (NGS, MassSpec). Interrogation of GWAS data for identifying
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Position as Computational Analyst / Bioinformatician in RNA Therapeutics and Cardiometabolic Disease
Responsibilities: Benchmarking existing and developing novel computational approaches for inference of microRNA activities from single-cell/nucleus and spatial omics (NGS, MassSpec). Interrogation of GWAS data
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Qualifications Ph.D. in Bioinformatics, Computational Biology, Systems Biology, or a related field Proven experience in the analysis of single-cell or spatial omics datasets Strong programming skills in Python and