Bioconductor data science introduction
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Updated
Jun 29, 2024 - R
Bioconductor data science introduction
A course on tools and practices for open, sustainable and FAIR (Findable, Accessible, Interoperable and Reusable) research software
Geospatial Data Carpentry with R for Urbanists
Introduction to dMRI
Reproducible Computational Environments using Containers
Introduction to Modern Fortran
R and the Tidyverse for working with data
Introduction to the Bioconductor project
Workflow management with Nextflow and nf-core
new lesson on image classification with convolutional neural networks
Structural Neuroimaging Analysis in Python
Introduction to MRI and BIDS
Pangenomics Workshop Overview
Creating HPC Workflows using Snakemake
Learn Deep Learning with Python
fMRI Imaging Analysis
GPU Programming with Python and CUDA.
Reinforcement learning in Python
An Introduction to Java Programming
Modeling Time Series Data for Engineers
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