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Shoot Virus (CSSV) disease, which depend on the complex web of interactions between and within above-ground and below-ground biotic and abiotic factors. The prevailing data and methodological gaps
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Haslinger and Professor Jason Ralph. The team brings together Liverpool’s strengths in wave propagation and scattering in complex media, mathematical modelling, Bayesian inference and information fusion
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, which depend on the complex web of interactions between and within above-ground and below-ground biotic and abiotic factors. The prevailing data and methodological gaps that have perpetuated knowledge
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Shoot Virus (CSSV) disease, which depend on the complex web of interactions between and within above-ground and below-ground biotic and abiotic factors. The prevailing data and methodological gaps
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 12 hours ago
Study (ARIC); Adolescent Medicine Trials Network for HIV/AIDS Interventions (ATN); SPIROMICS II: Biological underpinning of COPD heterogeneity and progression (SPIROMICS II); SPIROMICS GIC Support; Data
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policy, research and more? Do you want to develop skills within and outside of your field of study and interest and earn a competitive edge? Do you want to network with your peers, travel, and participate
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University & Research (also known as Biometris). Modern science, technology, and society generate data at unprecedented scale and complexity. From genomics and environmental systems to artificial intelligence
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, or statistics of complex networks. You make substantial contributions to the research focus Stochastic Models of the KIT Department of Mathematics and build bridges between mathematical theory and applications
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biological data are increasingly common in modern biomedical research but remain challenging to analyse because of their scale, heterogeneity, and complex spatial and functional dependencies. Existing methods
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Outcome Network (ICON) on an NIHR-funded Better Methods, Better Research (BMBR) project developing the Multiple imputation framework for missing data. This collaboration with University of Warwick, aims