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analysis of complex biological data, including big omics data. Dr. Floyd is Co-Director of the UW Cardiovascular Health Research Unit (CHRU) (https://chru.washington.edu/ ), where he leads a broad portfolio
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on “big data” studies in health and diseases, including Alzheimer’s disease and others such as schizophrenia, psychosis, autism, etc. We collaborate with major research universities worldwide as
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for analysis of epidemiological data and large scale ‘omics data such as epigenomics, transcriptomics, miRNA, metabolomics, epigenetic aging. Analyzes data and writes interpretative reports. Verifies
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be involved in projects to perform big-data research, bundling genetics, multi-omics, biomarker, clinical, and histopathological data, to harness the full range of biologically relevant data to better
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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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for analysis of health record data for patient diagnosis and outcome prediction. Perform large-scale querying and analysis of clinical health record databases. Engage with clinical collaborators, to place the
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. · Strong background in machine learning/AI and hands-on experience with large, heterogeneous datasets. · Practical experience with computer vision and/or spatio-temporal modeling (object detection
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space-based imaging required. Desired Qualifications: Significant software development experience and work with large astronomical data sets, including research publications resulting from such data sets
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qualification in Genetics, Bioinformatics, Computer science, Data science, Statistical Genomics or a related discipline involving the interrogation of ‘omics’ datasets. Hands-on experience with large-scale human
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projects. Fellows may pursue projects that utilize the CIP archive of large-scale social media data, as well as design and execute new data collection efforts that utilize existing research infrastructure