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data and high-throughput, multi-dimensional -omic data to study neurodegeneration and diseases of the central nervous system, with an emphasis on Alzheimer disease, Parkinson’s disease, and other
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(SUNBIRD) to validate blood biomarkers for Alzheimer’s disease in a large clinic-based cohort. This position is a member of a multidisciplinary research team and performs a variety of research, data base
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tissue, new imaging modalities, small animal maintenance and surgeries, and single cell transcriptomics. They will also gain experience in bioinformatic analysis of sequencing and large-scale imaging
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of metabolic states in retinal ganglion cells; spatial transcriptomic and correlated metabolic analysis of retinal ganglion cells; treatment of retinal ganglion cells in models of degeneration; data collection
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of developing computational tools to solve previously unattainable problems through creative use of big data in the biomedical and clinical research. Combining bioinformatics and experimental approaches
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Scheduled Hours 40 Position Summary Our research lab works on clinical outcomes research after cardiac surgery. This is done utilizing our own patient database, in addition to the large database
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., from IRB, funder, PI, and others). • Proactively identify and resolve instances of conflicting instructions, information, documentation, priorities, and/or project requirements. • In an ongoing manner
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within the Department of Radiology. The candidate will have the opportunity to work on “big data” studies in health and diseases, including schizophrenia, psychosis, and Alzheimer’s disease. We collaborate
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analyzing omics-based data sets [high-throughput, massively parallel genomic/proteomic/clinical.]; data management and analysis solutions that assist in storage, investigation and dissemination of large data
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to agricultural development in sub-Saharan Africa (SSA) and South Asia (SA), including small-scale producers, gender, nutrition, climate, food system risks and digital financial services. For more information about