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Field
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single-cell and single-nucleus multi-omics, machine learning/AI, computational biology, and experimental validation to understand cardiovascular disease progression and identify novel therapeutic targets
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research integrates fundamental immunology, functional genomics, and translational cell engineering to uncover mechanisms of immune regulation and translate these discoveries into next-generation
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foundational methods for integrating single-cell and clinical transcriptomes; and train, fine-tune, and validate deep learning models using multi-omics and imaging data to predict clinical outcomes such as
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, regeneration, and function, with a particular emphasis on thymus biology, hematopoietic stem cell transplantation, immune reconstitution, tolerance, and graft-versus-host disease. The Thymus Research Team
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and develop advanced fluorescence and imaging approaches, including FRET-based assays, fluorescence lifetime imaging (FLIM), live-cell microscopy, site-specific bio-orthogonal protein labelling by
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Engineering at Harvard University seeks outstanding postdoctoral applicants with expertise in immunology and computational biology, specifically bulk/single cell sequencing and AI/ML workflows, to join an
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that establish pancreatic beta-cell identity also determine lifelong resilience or vulnerability to disease. Current projects investigate how disrupted DNA methylation and chromatin regulation can drive genomic
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to the successful pursuit of excellence in research, innovation, and learning for all faculty, staff and students. Our commitment to employment equity helps achieve inclusion and fairness, brings rich diversity
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The University of Texas MD Anderson Cancer Center | Houston, Texas | United States | about 6 hours ago
. The laboratory combines human tissues with genetically engineered and carcinogen-associated mouse models, lineage tracing, organoid systems, preclinical intervention studies, and state-of-the-art single-cell and
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mentorship. Develop, implement, train, and validate machine learning and deep learning models for AI-driven prediction of cell physiology, metabolism, and functional behavior, with input from the research team