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  1. Concordat to Support the Career Development of Researchers

    The Concordat to Support the Career Development of Researchers, launched in June 2008, is an agreement between funders and employers of researchers in the UK and represents a significant development in national policy to support good management of researchers and their careers.

  2. Research Network on Emergency Resources Supply Chain (REMESH)

    The overall aim of this proposed exchange programme is to bring together an international team of researchers with a wide variety of expertise in supply chain risk management, hazard identification and safety assessment, and to tackle the challenges faced by industry requiring specialist knowledge and innovation.

  3. The Critical Research Seminar Series

    The Critical Research Seminars are a series of talks and debates that examine social policy. Seminar topics include: policing, youth justice, prison policy, drugs policy, death in custody and violence against women.

  4. Staff home

    Welcome to the LJMU staff homepage. Find resources and support available for all of our staff.

  5. High performance computing at LJMU

    Prospero is LJMU’s high performance computing (HPC) facility for research. It is hosted and operated by the university’s IT Services (ITS) division, as a service to the university’s research community.

  6. Motivate LJMU - staff wellbeing hub

    Find out more about Motivate LJMU, a project from the School of Sport and Exercise Science that could help you get active and become healthier from home, thanks to their suite of online resources.

  7. Access eDoc

    eDoc is the university’s online engagement and progression system which supports the doctoral journey, the policies and regulations that govern it and the common reference to progression stages.

  8. Qualitative Analysis in Action

    Qualitative Analysis in Action is an online toolkit that provides open access to 32 interviews with inspirational Nepali women along with a range of resources and demonstrations of qualitative data analysis.