We offer a range of online training though QMplus, our virtual learning environment.
This self-paced online module has over 20-hours of learning content across five topics that mirrors the lessons and exercises in our Introduction to Statistics course (RD-QMA-021). It is intended for researchers who want to learn some fundamental concepts in statistical analysis and how to use the statistical software R.
You will be guided by instructive text and bespoke videos that you can follow along with practice exercises. There are a number of activities and puzzles to help you test your comprehension as you go.
We have also put together a range of curated resources and further guidance from texts available in our library, YouTube videos, or LinkedIn Learning content.
To access the course:
These resources are here to support a number of courses and workshops that deal with research funding. You will also find some general guidance on how to search for and put a strong bid for research funding together.
The module includes three sections:
These four online training modules, developed by the University of Durham, aim to increase mental health awareness and help you recognise and name distress. While the materials were created with PhD students and supervisors in mind, postdoctoral researchers experience similar pressures that may lead to poor mental health and may find these resources equally useful.
Fundamentals of mental health
A brief summary of the key issues all researchers and supervisors should know to improve mental health awareness.
Researcher mental health: Evidence and experience
A review of the evidence and research literature on the factors contributing to mental health issues among PhD students and a summary of the role supervisors can play in supporting the mental health of researchers they supervise/manage.
Mental Health First Aid in the context of PhD study and supervision
An adaptation of Mental Health First Aid tailored for the PhD population, with information on common conditions and the skills of interventions and signposting for students and peers.
PhD supervision in the context of mental health difficulties
This module investigates how the process of PGR supervision may be impacted if a student is experiencing difficulties. It uses a case study approach to demonstrate the challenges with discussion points for review. A framework and tools are offered to help both students and supervisors reflect on any difficulties in the supervisory processes arising from mental health, either for self-reflection or to support all parties to address the issues within the supervision or with third party support.