Learn Bayesian modelling with the R-INLA package. Build, fit, and interpret INLA models, define priors and latent effects, and apply INLA to real data in a five day course.
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Learn Bayesian modelling with the R-INLA package. Build, fit, and interpret INLA models, define priors and latent effects, and apply INLA to real data in a five day course.
£500.00
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Explore and visualise biological data in Python using pandas and seaborn. Ideal for applied researchers.
£480.00
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Learn single cell RNA-Seq analysis with Seurat, 10x Genomics, and advanced QC methods. Gain cell type-specific insights in this live online course.
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£70.00 – £350.00
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2 events,
Take your Python skills further. Learn OOP, testing, and optimisation for complex bioinformatics tasks.
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£480.00
Causal Inference for Ecologists is an applied R course teaching researchers how to identify and estimate causal effects in ecological and environmental data.
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£400.00
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