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include 2 photon calcium imaging, retinal electrophysiology, rodent microsurgery and animal models of glaucoma and other ocular diseases. The postdoctoral fellow will be joining a young lab with exciting
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employ advanced analytical methods in large databases, which include claims data and electronic health record data in conventional structures and in common data models. Our research group prioritizes a
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would include: Co-developing a hybrid machine learning/process-based model of anaerobic digestion processes Performing techno-economic and lifecycle analysis of microgrids build around novel biogas-fueled
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are looking for scholars with strong disciplinary expertise who are interested in using their skills to co-create actionable natural capital information for decision makers in complex government and IFI
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diseases, in particular glaucoma. This position involves the application of optic nerve crush and other models of retinal ganglion cell injury to study signaling pathways in vivo. This position will involve
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, molecular biology, and in vivo models. Analyze and interpret data, integrating experimental and computational findings. Utilize bioinformatics tools and techniques to analyze high-throughput sequencing data
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Center for Biomedical Informatics Research at Stanford University. This position emphasizes evaluating various cancer screening strategies by developing and applying microsimulation models for decision
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channels in different cell types in the eye. Relevant techniques include 2 photon calcium imaging, atomic force microscopy, retinal electrophysiology, rodent microsurgery and animal models of glaucoma and
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, biochemistry, and animal models. Dr. Sun studies pediatric diseases of congenital glaucoma and retinal degeneration, in particular with Lowe syndrome and Joubert syndrome. In the laboratory, Dr. Sun's team uses
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glioma models to investigate novel therapeutic strategies and radiation. The goal is to explore a paradigm shift from the somatic mutation theory of cancer to a wound-healing and metabolic reprogramming