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Field
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brain injury. The successful candidate will work on animal models of brain injuries and apply cutting-edge spatial multi-omic sequencing to study the cellular and molecular changes. The role involves both
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, including bulk and spatial metabolomics and other high-throughput platforms. Collaborate with interdisciplinary teams to integrate experimental findings and drive translational research objectives. Prepare
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epidemiology, innovative sequencing and bioinformatics technologies including single cell and spatial transcriptomics, molecular biology approaches using cell-based and animal models, and biomarker studies from
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the further development and application of IQCELL 2.0, our lab’s next-generation GRN-cell simulation platform, to model spatial gene expression, cell-cell communication, and T-cell developmental
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role in developing our knowledge of the effect of radiation (microbeam +/- FLASH) on fibroblast and myeloid populations in pancreatic and bladder cancer models. About you The successful candidate must
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with education and experience Restricted: Yes Criminal Background Check: Yes About the Department: The Center for Spatial Information Science and Systems (CSISS) is an interdisciplinary research center
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development and application of IQCELL 2.0, our lab’s next-generation GRN-cell simulation platform, to model spatial gene expression, cell-cell communication, and T-cell developmental repertoires within
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part-time or flexible working patterns. The Opportunity: The candidate will work with human cell lines and tissue, as well as murine models to study the role of senescence in cardio-renal disease. Using
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | 20 days ago
the tool to consider potential high-risk scenarios for community infrastructure and natural assets. We are seeking an engaged and driven Postdoctoral Fellow who brings spatial data visualization and research
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Yield Forecasting". This project aims to revolutionize agriculture in Morocco by combining cutting-edge technologies, including crop growth models, remote sensing data, data assimilation, machine learning