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-wide analysis of ovarian tumors. To identify novel biomarkers and cancer-related genes, we integrate data from multi-omics (i.e., SNP arrays, RNA-seq, DNA methylation, expression microarrays, mass
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include designing and conducting psychological experiments and surveys, analyzing data using advanced statistical techniques including longitudinal data analysis, and reporting and presenting research
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and glycoproteomics. Computationally, they will engage in the analysis of various ‘omics data, be involved in using and improving AI models for glycan structure prediction, and perform biosynthetic
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following areas - medicine, biology, microbiology, and experience with registry-based research, clinical sample analysis, translational models, orthopaedics, or biomaterials - will be considered an advantage
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biomaterials/antimicrobial peptides, experimental infection models, or clinical sample analysis - will be considered a particular advantage. LanguagesENGLISHLevelExcellent Research FieldBiological