56 parallel-computing-numerical-methods Postdoctoral positions at University of Washington
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epidemiologic methods for environmental ‘omics and related software packages, including R, SAS, Python or equivalent. Previous experience analyzing large DNA methylation datasets, bioinformatics, and use
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or more projects, learning advanced cellular and molecular biology and anaerobic microbiology techniques. The candidate’s day will be split between benchwork to generate data, and computer work to generate
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of proteomics with genetic data via MR, coloc and FUSION to identify causal and druggable targets. Working Conditions: This position will be located at Dr. Cruchaga’s lab in the NeuroGenomics and Informatics
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including protein quantification methods, nucleic acid extraction and related, cell culture and cell transfection experience. Protein instrument expertise with Luminex, MSD or ARGO Nulisaseq Previous
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group. The successful candidate will have experience with paleobotanical methods, preferably including fieldwork, laboratory work, and statistical analysis. Experience with phytoliths is an advantage but
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and integrative computational and statistical analyses. Recent studies from the lab have demonstrated that circular RNAs (circRNAs) are associated with Alzheimer’s disease status and when measuring in
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of hypertension and insulin resistance. * Mechanistic dissection of the vitamin induced immune program in vascular and metabolic diseases. * The effect of acute hyperglycemia and immune cell metabolism and function
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at the intersection of active transportation safety and AI (e.g., near-miss detection, predictive crash risk, multimodal exposure estimation). · Design, implement, and validate AI pipelines (computer vision
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disease on memory processes. Research projects will involve functional brain imaging techniques (fMRI), behavioral measurement, and computational modeling approaches. Opportunities for collaboration within
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About This Job Preferred Qualifications: Doctorate degree in epidemiology (environmental preferred) or a related field. Solid proficiency in biostatistical and epidemiologic methods for chemical mixtures