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Field
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-cancer data network analysis. The Kuijjer group, established in 2018 at the University of Oslo, has recently expanded to the University of Helsinki. The group specializes in developing computational
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based on single-cell and spatial omics data, and (iii) integrating regulatory profiles with multi-modal data. These efforts aim to uncover regulatory mechanisms behind cancer and to develop predictive
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or MD/PhD Strong programming skills, preferably in R and/or Python Previous expertise and/or interest in single-cell sequencing technologies, bioinformatics, spatial analyses, and generative AI is desired
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model with a farm model Run scenario analysis to identify management practices with the largest mitigation potential, both spatially and temporally Coordinate and contribute to dissemination
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postdoctoral experience with single-cell RNA sequencing analysis and expertise in immunology or intestinal biology. This position is within the laboratory of Dr Kylie James at the Garvan Institute
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additionally learn a cutting-edge technique called cyclic immunofluorescence (CyCIF), which allows spatial resolution of different cell states within a tissue in order to understand how tumors are organized and
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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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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