90 web-programmer-developer "https:" "https:" "https:" uni jobs at Lancaster University in United Kingdom
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to suit your needs and interests, some with tax-savings. Find out about more of our employee benefits on our website - https://www.lancaster.ac.uk/jobs To find out more about joining our award-winning
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recognised for its commitment to sustainability, community and global impact. For more information about the role please view the candidate pack: https://www.lancaster.ac.uk/jobs/landing/assistant-director
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University, including information on our wide range of employee benefits, support networks and our policies and facilities for a family-friendly workplace. Visit our employee benefits on our website - https
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per week vacancy. What You’ll Be Doing As part of our dedicated and friendly team, you’ll: • Create inspiring learning opportunities from everyday moments. • Support children’s learning and development
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Administrator to support the Project Manager and programme leads in managing the new Mental Health Research Group (MHRG). The MHRG is a five-year initiative funded by the National Institute for Health and Care
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responsibilities additional flexible benefits to suit your needs and interests, some with tax-savings. Find out about more of our employee benefits on our website - https://www.lancaster.ac.uk/jobs To find out more
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range of employee benefits, support networks and our policies and facilities for a family-friendly workplace. Visit our employee benefits on our website - https://www.lancaster.ac.uk/jobs Is this the job
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closely with development, platform, and delivery teams across a diverse range of technologies and environments. Because of this, you will draw on real world experience to understand how applications
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significant digital transformation. We have a requirement for test analyst to support the ambitious, institution wide Curriculum Transformation Programme. This multi-year strategic initiative is reshaping
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) Programme, based at Lancaster University. The DASS Programme will consider the foundational statistical challenges of identifying anomalous structure in streams within constrained environments, handling