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to the delivery capability of lipid nanoparticles. Bulk techniques (e.g. small angle scattering) will be coupled with single particle analysis to improve our understanding of how disease impacts the performance
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. This project centers on applying advanced computational tools—such as bioinformatics, machine learning, and large-scale genomic data analysis—to unravel how pathogenic Escherichia coli (E. coli) evolve and adapt
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evolutionary trees, and performing downstream data analysis, including statistics and visualization, and writing scientific texts summarising results. Your work may also include teaching or other departmental
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://ngisweden.scilifelab.se/ ). Description of work You will contribute to the development and implementation of novel methods and technologies for genome, transcriptome and epigenome analysis, both in bulk and at single-cell
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variability in risk factor susceptibility, treatment response, disease pathogenesis, and clinical diagnosis (biostatistics, machine/deep learning), ii) Investigating causal processes and disease mechanisms
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Do you want to contribute to top quality medical research? Data-driven precision medicine and diagnostics covers data integration, analysis, visualization, and data interpretation for patient
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-der-valk/ ). We are looking for someone with a passionate interest in insect phylogeny and evolution, and with strong competence in de novo genome assembly and phylogenomic analysis. The successful
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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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are regulated and the extent that microbial metabolism varies over time and space in relation to environmental conditions. Main responsibilities Research will involve analysis of meta-omic data from samples
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develop analysis pipelines to analyze high dimensional spatial and single-cell data of cancer and immune tissue from patients and pre-clinical studies and should have a strong background in both