Earth Sciences: Research support

• Crowdhelix - how to find international research partners. Login with your SU credentials and complete your profile.
• Open4Research a funding portal for the identification of international research funding opportunities
  For enquiries, please contact research@sun.ac.za or dominiquem@sun.ac.za
• NARGA (Computer User Area) portal for the Science and AgriScience Faculties
• Software Hub
• Stellenbosch University research-related policies and guidelines
• Ethical clearance Stellenbosch University
• SU branding: PowerPoint templates, logos and fonts, template guide and more
• SU CANVA templates (creating professional designs)
• SU access to AI image creator on Microsoft Bing
• BioRender: create professional science figures in minutes. Free account for personal use
• Research Development Postgraduate Resources (thesis formatting, layout and more)
• Short MSWord tutorials (for assistance with Word problems or formatting, contact Kirchner van Deventer, Library Research Commons)
• SAS from scratch: for anyone wanting to learn SAS to get up to speed with the language, this series explains the core principles along with practical examples.
• A funding adviser’s guide to writing a great grant application

Do you want to improve your writing? Are you looking for writing support? The Writing Lab is there for you!

Book a free writing consultation
Writing skills workshops
Writing groups
Open source writing guides
Writing guides

• The Research Process library guide
• Library YouTube workshop videos: literature review, systematic review and more
• Research Data Management questions? Please contact Sam Simango​
• Need help with your research impact bibliometrics?
• Find resources to answer your research methods and statistics questions: SAGE Research Methods
• How to write and illustrate a scientific paper
• How scientists communicate: dispatches from the frontiers of knowledge
• Successful time management
• Understanding and applying basic statistical methods using R
• Practical statistics for data scientists: 50+ essential concepts using R and Python
• Probability with R