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spatial omics data analysis. For further information, please contact project Dr Ke Yuan (https://www.crukscotlandinstitute.ac.uk/cruk-si-research/cruk-si-research-groups/ke-yuan.html) ke.yuan@glasgow.ac.uk
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the Department of Environmental Health at Harvard University has openings for highly motivated postdocs to develop and apply novel computational approaches for next generation sequencing data analysis
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of five scientific groups in the CFN, and supports the Electron Microscopy facility, which is the largest CFN scientific facility. The CFN is acquiring two new customized, ultra-high spatial resolution and
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the Department and wider Stanford community to establish new techniques and research directions. • Apply and obtain competitive funding. • Employ advanced imaging, spatial analysis, and sequencing-based
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response to pathogens. The lab uses state-of-the-art techniques including single cell RNA sequencing and spatial transcriptomics. The individual will have the opportunity to work on their professional
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generation; 2) vascular biology and vascular aging; 3) tissue regeneration and repair; 4) bioengineering or chemical engineering; or 5) single-cell RNA/ATAC sequencing analysis and spatial transcriptomics
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on developing machine-learning-based or statistical emulators to approximate key outputs of complex Earth System Models, with the aim of enabling efficient uncertainty quantification, sensitivity analysis, and
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science data, particularly related to plan quality evaluation, policy analysis, spatial analysis, and/or hazard assessment Track record of scholarly and public outreach via academic publications and
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our team. We are looking for postdoc candidates to develop and apply cutting-edge technologies in spatial transcriptomics, single-cell sequencing, machine learning, and functional genomics
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. We are seeking an energetic and independent researcher who has a strong background in quantitative analysis of social surveys. To qualify for the position, a candidate must have completed a PhD by the