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the ESRC project Generations of London English: Dialect and Social Change in Real Time. Project website: https://generationsoflondonenglish.org/ Led by Principal Investigator Professor Devyani Sharma
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 months ago
, multivariate, and longitudinal data analysis using licensure data and large secondary population data sources. * Perform geospatial analysis including translating practice addresses to maps and other data
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subspecialties divisions. Learn more about our department at https://medicine.uw.edu/index.php/about . ABOUT THE ROLE The role of the Biostatistician and Director is to provide complex and critical consulting
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has: A PhD in translational and laboratory medicine within the field of IBD. Proven expertise in omics data analysis, including proteomics and metabolomics data (R/RStudio, multivariate and regression
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, Information Technology, Intelligent Systems Engineering, Network Engineering and Security, and Software Engineering. Find out more about SoC at https://www.cdm.depaul.edu/academics/Pages/School-of-Computing.aspx
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can be demonstrated through courses, publications, graduate work, or internships in specialized laboratories; c) Advanced knowledge of multivariate data analysis, preferably using the R environment; d
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background in micro/nanofabrication, characterization and the development of miniaturized devices. Experience with multivariate analysis, computational methods or statistical techniques is highly desirable
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, multivariate calculus, and the postulates of quantum mechanics. Desirable expertise includes mathematical optimisation theory (constrained continuous optimisation), and prior experience in quantum error
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the dissolution of peptide powder formulations using in-situ UV spectroscopy. The candidate should have previous experience collecting, structuring, and analysing spectroscopic data using multivariate analysis
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engineering, computational biology, biostatistics, or a related discipline, with a strong background in clinical data analysis and predictive modeling. Experience with multivariate regression techniques