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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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heritage. We seek to understand the past and also the complex ways in which the archaeological past contributes to contemporary and future worlds. We work to redress the colonial foundations of archaeology
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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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skilled postdoctoral researcher to lead a multifaceted project focused on utilizing the immunogenomics, transcriptomics, and proteomics approaches to unravel the complexities of human diseases and
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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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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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of mechanosensitive ion channels in different cell types in the eye. Relevant techniques include 2 photon calcium imaging, retinal electrophysiology, rodent microsurgery and animal models of glaucoma and other ocular
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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
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the molecular and cellular biology of vascular cells and diseases. Position will involve working with both human cells and mouse models. The project encompasses uncovering novel mechanisms of gene regulation, and