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The Department of Physics at Lancaster University invites applications for a Post-Doctoral Research Associate in the field of ultrafast magnetism and THz-driven spin switching. This is exciting opportunity to work
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Applications are invited for a NIHR funded integrated academic training clinical lecturer post in Neurology, Public Health Medicine or General Practice at Lancaster Medical School. Two posts are available for up
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knowledge areas include cyber-security, applied machine learning and data mining, intelligent video analytics, natural language processing and artificial intelligence, autonomous learning and dynamically
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competitive funding applications to ensure sustainability in mental health research; previous experience is desirable. The post will be based in the Spectrum Centre for Mental Health Research at Lancaster
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The Department of Physics at Lancaster University invites applications for a Post-Doctoral Research Associate (or Senior Research Associate) to work in the field of ultrafast switching of magnetism. The post is
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of Computing and Communications, such as the BSc programmes in Computer Science and Software Engineering, as well as the MSc programmes in Data Science and Cyber Security. Activities of the post include
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provided. Opportunities to support with supervising PhD students within the MHRG may also be available. The post will be based at Lancaster Medical School and will involve some travel across the UK
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confirmed Reference: 0220-26 We invite applications from researchers with experience in advancing HCI and UI technology to join our GEMINI team (https://gemini-erc.eu ). The post is available from July 2026
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organising events and assisting with web and social media marketing activities would be an advantage but is not essential as appropriate support and training will be provided. The post will be based in
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for further funding to extend the post. Candidates with any background that is relevant to this research will be considered. Preferred candidates will have a PhD or equivalent, with relevant experience in data