Good day everyone ☀️ Take a look at our full list of courses running in July—there are still a few seats available! https://t.co/2Mel2FCDTQ #Bioinformatics #Genomics #RStats #DataScience

Topics include Quarto, Git, renv, research compendia, and Docker, with a focus on practical workflows that can support transparent and reusable environmental and ecological data analyses.

The course is designed for researchers who use R and want to make their analyses fully reproducible and easier to share with collaborators.

We have one last seat available for our online course "An R Reproducibility Toolkit for the Practical Researcher," starting next week.

🌿 Explore the world of functional trait spaces in R with Dr. Giacomo Puglielli Join our online course (14–16 Sept) for a hands-on journey through PCA, kernel density methods, functional diversity, and cutting-edge R tools. https://t.co/tPtaNcEmuP #Ecology #Rstats

🚀 Build your own academic, research, teaching, or professional website in just 2 days with #Quarto! 📅29–30 Sept (online) Learn to create, customize & publish a fully functional website using Quarto + GitHub Pages—no prior Quarto experience required💻 https://t.co/2KVv8wPPhH

https://t.co/lgl4DwhA86

Make your research reproducible! 🚀 Join our course on Building Reproducible Data Analysis Workflows in R & learn practical skills with Quarto, Git/GitHub, renv, research compendia & Docker. https://t.co/6w7iTk90rA

🧬 Join us for a live webinar (August 10th) on Programming Biology with Genome-scale AI. Explore DNA language models, genomic foundation models, variant interpretation, DNA design, and the future of programmable biology. Register now! https://t.co/AHMOWVtikP

Join our online course “Time Series Analysis and Forecasting in R” (20–24 July)! Learn to model & forecast ecological time series with Bayesian approaches in R via live coding and hands-on exercises. Details: https://t.co/hKvgX78PH4

Are you interested in learning how to infer population history, structure, and gene flow from genomic data? Join our upcoming online course: Model-Based Demographic Inference from Population Genomic Data. Dates: 20-24 July! https://t.co/h1loV1GV3j

Apply for this microgrant opportunity from the eDNA collaborative and you can attend the Physalia-courses eDNA metabarcoding using Nanopore Sequencing data FOR FREE. Applications are open only for the next 2 weeks! https://t.co/lql9AU0rLW

There's a persistent rumor that Python's genomics plots are ugly. It was a real pleasure working on the practical for our Python genomics visualization course and showing that simply isn't true. Follow the repo and stay tuned as we finalize the agenda 👇 https://t.co/XdGUMkQTYd

🚀 New course: Machine Learning for Drug Discovery (12–15 Oct) Discover how AI is transforming medicine development. Join us for a hands-on online course covering ML, DL, graph neural networks, PyTorch & real-world biological & chemical data workflows https://t.co/3RAxw0z1sl

📢 Join our online course "Markov and Hidden Markov Models with Applications in R" (1–4 Sept)! Learn HMMs for longitudinal data analysis, model estimation, uncertainty assessment, and hands-on implementation in R with LMest. 🧬📊 https://t.co/kI8eaeoxKb

Join us next week and learn how to turn complex genomic data into clear, publication-ready figures using Python. From exploratory plots to advanced visual analytics with @loukesio https://t.co/YkrQy0agG5

🚨Only 3 seat left! Join us and learn about phylogenetic & comparative methods: tree building, trait evolution, ancestral state reconstruction, comparative genomics, species delimitation & much more https://t.co/gNs0pJN2Ep

🚨Registrations are now open for the next edition of the Manual Genome Curation using PretextView with @camillapple99 and Michael Paulini @sangerinstitute in November https://t.co/HtPgIazw9u

🚀 Course alert! Boost your R workflow with AI! Join our 1-day online course (4 Aug) with @LuisDVerde in collaboration with @TheFSBI Learn to generate, debug, document, and visualize data with LLMs directly in R. No prior AI experience required! https://t.co/QGssS88ZeZ

Master model Bayesian Machine Learning for species distribution models! You can still join us in July: https://t.co/CmcTGoZJxm