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. The postdoctoral associate will receive mentored training in environmental epidemiology, cancer survivorship, exposure assessment, survival analysis, mixture modeling, biomarker analysis, and health disparities
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other scientists and clinicians inside and outside the University of Washington who have ongoing collaborations with the Risques Lab. General Duties: Perform duplex sequencing analysis of samples captured
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in molecular biology or related fields Practical experience with genomics and bioinformatics methods A solid knowledge of single cell omics technologies and data analysis A strong research record
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spatial transcriptomic data. A demonstrated interest in data visualization and large-scale data analysis is highly desirable. The ideal candidate will have a keen interest in understanding complex
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: Quantitative Trait Locus (QTL) mapping in human endothelial cell cohorts exposed to various in vitro environments. Genetic and heterogeneity-based analysis of endothelial cell molecular traits using single-cell
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visualizing large-scale, complex data. For the vacant position, we particularly search for a colleague experienced in computational text and/or image analysis and processing platform data. Your future tasks
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to candidates having a strong record in developing novel computational strategies to solve complex physics problems with relevant experience in nonlinear analysis of pdes and parallel computation. FLSA Exempt
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brain MRI analysis, statistical analyses, as well as data acquisition and machine learning. Experience with stroke and federated learning is a plus. Job ID REQ20177725Posted Date 08/05/2026 Current
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democracies justify departures from market principles. Component 2 — Systematic Evidence Review on Market Competition: systematic literature review and meta-analysis of evidence on competitive dynamics in
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Biophysical and Biomedical Measurement Group - NIST | Gaithersburg, Maryland | United States | 29 days ago
radiological emergency response. This position is within the Biophysical Metrology and Inference program at NIST, which develops measurement approaches, physical models, and data-analysis methods that connect