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of the PhD project is to develop computational approaches to identify small molecule and peptide ligands that target therapeutically relevant receptors, with the vision to accelerate the drug discovery process
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integration, analysis, visualization, and data interpretation for patient stratification, discovery of biomarkers for disease risks, diagnostics, drug response assessment and monitoring of health. The precision
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causal relations between genetic alterations and disease phenotypes. In this PhD you will address this by a deep learning model of drug responses in cancer. The PhD position focuses on predicting cell type
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phenotypes. In this PhD you will address this by a deep learning model of drug responses in cancer. The PhD position focuses on predicting cell type-specific drug responses, identifying transcriptional
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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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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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encompasses data integration, analysis, visualization and data interpretation for patient stratification, discovery of biomarkers for disease risk, diagnosis, drug response and health monitoring. Research in
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stratification, discovery of biomarkers for disease risks, diagnosis, drug response and monitoring of health. The precision medicine research is expected to make use of existing strong assets in Sweden and abroad
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interpretation for patient stratification, discovery of biomarkers for disease risks, diagnosis, drug response and monitoring of health. The precision medicine research is expected to make use of existing strong