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of the tremendous variability in landscape, fire, and treatment characteristics to conduct a set of natural experiments, taking an approach based on “big data” and remote sensing to learning from past fuel treatment
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/genomics Experience with the analysis of large-scale genomic data Demonstrated ability to summarize scientific findings in the form of written manuscripts and oral presentations Desired Qualifications
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of a team performing both ex-vivo and large animal in-vivo studies) of catheter-based cardiac/myocardial ablation. The clinical applications investigated will include ventricular tachycardia and
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engineering, or a related field. · Strong background in machine learning or data analytics and hands-on experience handling big data. · At least one year of research experience in transportation
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technologies, computational genomics, functional assays, and integrated data analysis. We are seeking a highly motivated Postdoctoral Researcher who shares our passion for solving foundational problems in human
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Experience with the analysis of large-scale genomic data Demonstrated ability to summarize scientific findings in the form of written manuscripts and oral presentations Desired Qualifications: Interest in
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are experience collecting and analyzing data from long-form recordings, experience in working with large longitudinal datasets, proficiency in analytical coding environments (e.g., R, Python), proficiency in
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disease with a focus on Alzheimer’s Disease. Computational models will be developed that utilize data obtained from a wide range of experiments, from basic biochemical methods to advanced imaging techniques
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research on helminth parasites, to assist in clinical trials for river blindness treatment, and to manage large data sets. The successful applicant will have experience in data science and in infectious
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exclusion criteria apply. For more information, please visit the University of Washington Labor Relations website . Required Qualifications: Completed PhD in biomedical engineering, electrical engineering