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-networked data environments Experience working with data that are person-level; spatial or GIS; health focused; housing focused; nested (e.g. individuals within families); and/or longitudinal Experience
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Engineering (ADE), Rational Architecture (RA), Smart Architectural Technology (SAT), Transformational Architecture (TA) and Architectural History and Theory (AHT). Spatial design is both the raison d’être
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.` Available course options include Climate Change, Mapping Environmental Issues, Environmental Spatial Analysis, Environmental Geographic Systems, Natural Science and Environmental Problems, Environmental
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MRC DiMeN Doctoral Training Partnership: Deconvoluting the spatial multi-omic landscape of high-grade glioma to target post-surgical residual disease MRC DiMeN Doctoral Training Partnership PhD
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applying molecular dynamics simulations approaches at different levels of temporal and spatial resolution. The postdoctoral researcher will be involved, in developing novel ultrafast multipulse spectroscopic
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Vision Profiler (UVP), and to analyse its spatial and temporal variability. This will be done by combining different data sources and machine learning (ML). Data used for this ML approach include - a
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to apply Website https://www.academictransfer.com/en/jobs/355829/postdoc-reverting-soil-sealing-… Requirements Specific Requirements You have a PhD in Geography, Spatial planning, Urban studies or a related
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networks driving aging and inflammation using cutting-edge molecular and genomic technologies. The project integrates single-cell and spatial transcriptomics, epigenome and whole-genome sequencing, and
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of cellular aging, resilience, and fibrosis. Responsibilities Develop and implement analytical pipelines for large-scale single-cell, spatial, and multi-omics data integration Build and apply machine learning
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experience and, experience in molecular data handling (single-cell and spatial biology). This post will offer career development opportunities and working at the academic-industrial interphase. The postholder