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SPSS, AMOS, Stata or R Experience of cleaning, recoding and cataloguing large and complex data sets suitable for time-dependent or longitudinal data analyses is essential Experience of undertaking
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) or/and computational analysis of large data sets are preferred. Please send your CV and the names of three references to Dr. Tingting Jiang (tingting.jiang@mssm.edu)
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Clinical Research Fellow. You will work closely with the Epidemiology Large Data Review Group, conducting advanced statistical analyses in Python, R, and Stata, and leading systematic and Bayesian meta
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leading role in the analysis of host-response genomics in large patient cohorts, including those from recent and ongoing Covid-19 studies. Working with clinical outcome data, you will perform genome-wide
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. Within astrophysics, the faculty of the CCCP pursue observational and theoretical cosmology, astrophysics of galaxies and dark matter, large astronomical surveys, intensity mapping, astroparticle physics
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ability to contribute effectively to large-scale software projects. Proven capability to conduct independent research as well as collaborate within a research team. A relevant publication record and
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An exciting postdoctoral position in method development for spatio-temporal medical data is available in the UiT Machine Learning Group at the Department of Physics and Technology . The positions aim is to
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leadership roles in multiple large sky surveys and consortia, including DES, DESI, HSC, LISA, and Rubin LSST. CMU is also a co-host of LINCC Frameworks which is developing analysis software infrastructure
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successful candidate will work in the AI in Medicine Lab, applying machine learning to cutting-edge problems in cancer genomics, transcriptomics, spatial transcriptomics, and large-scale bioinformatics
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an opportunity to gain experience in large-scale primary data collection, community-engaged research, and advanced longitudinal and mixed-method analyses. The fellow will be a key member of an interdisciplinary