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School of Engineering Sciences in Chemistry, Biotechnology and Health at KTH Job description Quantitative analysis of lipid nanoparticles (LNPs) using Cryo EM is challenging due to heterogenous
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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 viability
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on the regulation of protein translation and stop codon readthrough (SCR). The primary objective is to identify/isolate trans-regulators that control SCR in a temporal and spatial manner. This will be done by
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-institutional constellation of SciLifeLab researchers and infrastructure units. The Human Protein Atlas (HPA) is a large-scale international effort to map the spatial distribution of proteins in human cells
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Metabolomics and Exposomics Platform within SciLifeLab. You will join a team with complementary expertise in analytical chemistry, mass spectrometry, metabolomics and data analysis. You will conllaborate with
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an outstanding and ambitious postdoctoral researcher in computational biology to pioneer understanding and modeling of tissue architecture using single-cell and spatial transcriptomics data. The focus will be
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analysis to better understand how molecular and cellular processes are coordinated across cells, tissues, and organ systems in human health and disease. You will be responsible for developing and applying
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Uppsala University, Department of Information Technology Are you interested in developing new image analysis and machine learning methods for precision medicine and clinical decision support? Would
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research environments in Computational Science, the research and education has a unique breadth, with large activities in areas such as numerical analysis, mathematical modelling, development and analysis
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regions by developing interpretable and efficient methods in comparative pangenomics, leveraging machine learning methods, statistical analysis and efficient algorithm and data structures (https