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Field
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computational predictions with experimental observations Communicate research results effectively through publications, presentations, and team interactions Position Requirements Recent or soon-to-be-completed
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, and machine learning applications for developing predictive methods. Desirable requirements: The candidate must possess scientific maturity to solve problems, proficiency in English scientific
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CRISPRi/a screening (Cell Stem Cell 2024), 3) Deciphering pathogenic coding and non-coding variants linked to congenital heart disease in a cell type-specific manner (Cell 2022), and 4) Combining iPSC
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, structured phenotypes, medical terminology, ICD codes, and available omics and health-data resources to detect patients with clinical patterns suggestive of hEDS/HSD. The position is inspired by recent
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predictive MD simulations capable of resolving atomic-scale LCI mechanisms with near-DFT accuracy Investigate how silicon suppresses LCI, including its effects on grain boundary site competition and the
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antigens presented by MHC molecules. This curiosity-driven project develops cutting-edge AI technology for 3D TCR–pMHC modeling to improve neoantigen identification, TCR specificity prediction, and TCR
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with researchers across the consortium to predict and edit targeted gene promoters, to design relevant constructs for gene editing and to evaluate the gene-edited plants to establish this topic firmly into the plant
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Previous Job Job Title Post-Doctoral Associate Next Job Apply for Job Job ID 375759 Location Twin Cities Job Family Academic Full/Part Time Full-Time Regular/Temporary Regular Job Code 9546 Employee
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Previous Job Job Title Postdoctoral Researcher Next Job Apply for Job Job ID 364033 Location Twin Cities Job Family Academic Full/Part Time Full-Time Regular/Temporary Regular Job Code 9546 Employee
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health. The postdoctoral associate will also participate in related projects on cardiometabolic disease, cardiovascular imaging, multimodal prediction, and implementation of imaging-derived biomarkers