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the causal circuits driving the development and the functional specialisation of the largest macrophage population in the body: the liver-resident Kupffer cells. You will next develop Spatial CRISPR screens in
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for understanding, modeling, designing and implementing innovative nature- and landscape-based solutions for these contemporary challenges. •Would need to have fundamental knowledge on aspects of landscape and urban
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learning, statistical, spatial and temporal modelling approaches to understand mental health need, crisis trajectories, service entry patterns, and system performance across rural, coastal, and small urban
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an outstanding and ambitious postdoctoral researcher in computational biology to pioneer understanding and modeling of tissue architecture using single-cell and spatial transcriptomics data. The focus will be
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on campus and beyond. At Notre Dame, your work matters, and so do you! Job Description Applicants must apply through Interfolio at https://apply.interfolio.com/182627 . Applications submitted through
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the Norwegian Institute for Nature Research (NINA) and partners in 14 countries. For more information, see: https://seatrack.net . This is a fixed termed position for 3 years in our section for terrestrial
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and structures in biomedical image data. Additionally, the candidate will analyze spatial transcriptomic data to evaluate spatial patterns of genes in tissues. They will primarily work on projects
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collaborative research environment to analyze unique spatial data in an innovative manner. You will develop and perform cutting-edge bioinformatic analysis integrating different multiplexed spatial data, and gain
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Infrastructure? No Offer Description We seek to hire a post-doctoral scientist within the ERC synergy project PatCorg – Spatially Patterned Organoids. Patcorg aims to understand the mechanisms underlying
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; support multi‑omics data integration and analysis across multiple research groups; and collaborate on the development and maintenance of computational pipelines for spatially resolved transcriptomics and