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this PhD project we will map the lipid and protein expression profiles of the endosomal pathway to enable engineering of improved LNPs and disease specific endosome models for LNP screening. The project is
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and examine SVs are whole genome sequencing reads (or simply reads). The reads mapping over and around variation sites can be used to classify the SV. Previous sequencing technologies often produced
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within tissues using our in-house developed spatial transcriptomics-based technology (Spatial VDJ). Using established and newly developed algorithms, we map B cell evolution within tissues, including class
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the nonlinear regions of the genotype–phenotype map, while more recent empirical results indicate that it can remain constant over long evolutionary periods. This project will address this apparent contradiction
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informatics. This, to serve the biological goal of mapping out the breast cancer tumor microenvironment, understanding the regulatory signaling network, and identifying early stage progression markers and
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major and prestigious grants that provide longer-term resources and opportunities for high impact publications. More information can be found on google scholar. Duties The main duties of PhD students
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the Royal Institute of Technology, Stockholm. Dahlin’s team works at the intersection between experimental and computational medicine to map blood cell development at the single-cell level. This is performed