Training materials
Target audience: Any student, postdoc or RA who has an interest ... or Bachelor students or Computer Vision scientists or Life Science Researchers or PhD Students or bioinformaticians or research software engineers and researchers wri...
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Slides
Life Sciences Research Data Management 2023 Course by ELIXIR Norway
• beginnerData management Data submission, annotation, and curation Data handling Deposition Data retrieval -
Training materials, slides / presentation, slide deck / presentation, Presentation
Life Science RDM 2023 Course
• beginnerData management FAIR data Biology Genomics Imaging Proteomics Bioinformatics Biodiversity Data Management Plan Data management planning Data Steward Data Stewardship Wizard Data Life Cycle Research Data Management Research Infrastructure -
E-Learning, Training materials
Biology meets Programming - Introduction to Bioinformatics using Python
• beginnerBioinformatics Biology Python Python biologists Programming Data Analysis Sequence Analysis -
Learn to Discover (L2D): Data Handling and Machine Learning using Python
••• advancedMachine learning Artificial Intelligence data science Python Programming Bioinformatics Biomedical data -
course materials, Online material, Training materials
Cloud-SPAN Genomics
• beginnerBioinformatics Software engineering Genomics DNA polymorphism Workflows Data architecture, analysis and design Shell Command line Cloud computing HPC Data analysis High performance computing -
Online material, hands-on tutorial
Introduction to Docker and Singularity
• beginnerReproducibility Container Singularity -
e-learning, Documentation
FAIRplus fellowship programme
•• intermediateFAIR data FAIRness Data management FAIRplus life-sciences -
podcast, slides
Byte-sized RSE Session 4: Continuous Integration
•• intermediateRSE Research software continuous integration coding skills -
podcast, slides
RSE Byte-sized RSE Session 2: Collaboration and Code Review via GitHub
•• intermediateRSE Research software code review -
podcast, slides
RSE Byte-sized RSE Session 1: Software Licensing