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: machine learning, data analysis, statistical modelling, explainable AI, computational methods for large-scale data, and analysis of biomedical or population-based datasets. An interest in applications in
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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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University Work assignments The PhD student will be responsible for the analysis of advanced 4D live-cell microscopy data, with a particular focus on identifying and characterizing rare endosomal escape events
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developing both computational and analytical skills Desirable qualifications: Experience with genomic or transcriptomic data analysis, especially of plant species Basic understanding of genomics, evolution
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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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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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research is conducted on wild species, agricultural crops, forest trees, bioenergy crops, and model organisms. Our main research areas include genome analysis, the interactions between plants and
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18 Apr 2026 Job Information Organisation/Company Uppsala universitet Department Uppsala University, Department of Information Technology Research Field Computer science Technology Researcher Profile
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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