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genomic analyses on large case-control cohorts to identify risk and response associations for diseases of interest. Performs integrative analyses of other molecular and omics data, such as gene expression
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satisfactory performance and funding availability. Applicants should possess a Ph.D. degree in epidemiology, biostatistics, applied mathematics, data science or other related disciplines. They should have strong
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. The post-holder will participate in lab meetings, journal clubs, departmental research meetings, and co-supervise students. They will also present data at high-profile international and national meetings
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Presentation skills Analytical skills Attention to detail Preferred Qualifications: Willingness to work with large animal models Experience with tissue culture and primary cell isolation Knowledge
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emerging autonomous vehicles. The whole project encompasses a broad spectrum of academic, industrial and societal partners and includes a large group or researchers. The postdoc position will advance state
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with programming languages such as Python and SQL. We work with very large spatio-temporal datasets, so concrete experiences with spatial data tools such as PostGIS and QGIS are beneficial. Time-series
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are conducting several large randomized clinical trials, cohort studies, and surveillance programs, in India, Latin America, and the United States related to nutrition, infectious diseases, and maternal and child
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The Peng Lab at the University of California, Los Angeles, is seeking highly motivated Postdoctoral Scholars with expertise in data science and bioinformatics to drive groundbreaking discoveries in
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(Python, MATLAB) for processing and analyzing large or multimodal datasets (e.g., neural activity and behavior). Experience working with quantitative behavioral or electrophysiological data collection
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drive change and effectively communicate change. Detailed oriented and capable of managing large amounts of data, maintain detailed comprehensive records, analyze and organize information, have effective