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new method to study human pancreatic tissue slices using high-resolution calcium imaging in combination with spatial transcriptomics. The researcher will develop methods to improve the analysis of
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improve Slice-seq, a new method to study human pancreatic tissue slices using high-resolution calcium imaging in combination with spatial transcriptomics. The researcher will develop methods to improve
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Swedish life science research community, and participating in international collaborations. Within NBIS, you will be part of the BioImage Informatics team ( https://www.scilifelab.se/units/bioimage
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-cell transcriptomics analyses, and computational skills (e.g., R and Python). Meritorious will be considered experience in Microscopy-based imaging, Immunohistochemistry, and cell culture
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infection. For more information, please see: https://www.scilifelab.se/data-driven/ddls-research-school/ The future of life science is data-driven. Will you be part of that change? Then join us in this