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on the University website about being a Lund University employee: Work at Lund University Work assignments The PhD student will be responsible for the analysis of advanced 4D live-cell microscopy data
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Development Design new statistical and machine learning models tailored to this emerging omics modality. Multimodal Data Analysis Work with high-dimensional datasets combining quantitative RNA features
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. The applicant is expected to actively perform analysis of spatial transcriptomics and immune clone data, and present results to general and specialized audiences. The data-driven life science initiative Data
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data integration, analysis, visualization, and data interpretation for patient stratification, discovery of biomarkers for disease risks, diagnosis, drug response and monitoring of health. The precision
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perturbation-based GRN inference for single-cell and spatial multi-omics data, to boost GRN quality and add the cell type and tissue heterogeneity dimensions to causal regulatory analysis. A deep learning
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program! Data-driven precision medicine and diagnostics covers data integration, analysis, visualization, and data interpretation for patient stratification, discovery of biomarkers for disease risks
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, fundamental and strategic plant biology research is conducted on wild species, agricultural crops, forest trees, bioenergy crops, and model organisms. Our main research areas include genome analysis
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diagnostics covers data integration, analysis, visualization, and data interpretation for patient stratification, discovery of biomarkers for disease risks, diagnosis, drug response and monitoring of health
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graduate education in more than 80 subjects. At the Department of Clinical Microbiology, Umeå University, we are announcing the position as a Data driven life science doctoral student in Data-driven
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fecal shotgun data from 500 children followed from birth to three years of age to investigate how environmental, clinical and lifestyle exposures shape microbial community development. The student will be