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Postdoctoral Associate to join the DISCOVER (Digital-Twin Infrastructure Science for Operations and Visualization in Engineering Resilience) Laboratory and become part of an interdisciplinary research team
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University of California, Los Angeles | Los Angeles, California | United States | about 21 hours ago
and analyzing large genomic and immunologic datasets, visualization and communication of complex results to both computational and experimental collaborators, and collaboration with laboratory
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preprocessing, feature extraction, statistical modeling, visualization and documentation. Implementing advanced statistical and computational analyses, including trial-level models, mixed-effects
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problems Strong desire to work in a team environment. Excellent analytical skills with high attention to detail. Experience with geospatial data visualization tools such as ArcGIS, Cesium, or similar
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expertise in R and Python and be highly proficient in using R for statistical analysis, bioinformatics, data visualization, and multi-omics data analysis. The candidate should be comfortable independently
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University of British Columbia - Department of Medicine | Northern British Columbia (Fort Nelson), British Columbia | Canada | about 1 month ago
bioinformatics and artificial intelligence approaches. Prepare manuscripts for publication in leading international journals. Present research findings at national and international scientific
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sequencing and other NGS-based data from patients, including mutation calling and detection of mosaic mutations. The work may also include statistical analyses and data visualization to identify and
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researchers from the department have established companies to develop new medicinal treatments founded in professional scientific basic research. You can read more about the department here and about the
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production Aptitude in scientific writing, data visualization and interpretation Advanced modeling/programming skills Proficiency with environmental remote sensing and interpretation Familiarity with HYDRUS
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statistical methods for uncertainty quantification in microanalytical measurements. Publish research results in high-impact, peer-reviewed scientific or technical journals. Present findings at external