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development team at Lancaster University are seeking to appoint a 0.2FTE learning developer who will support students on the Frontline (postgraduate) programme for a six month maternity leave cover. You will
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: 0832-25 This is a full-time (1 FTE) position. We are seeking to appoint a Learning Developer to join our well-established team at Lancaster University. The successful candidate will be responsible
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skilled graduates through research projects that use industrial challenges as the catalyst for methodological advance. Work directly with leading industry partners Many of our PhD projects are developed and
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actionable insights that can lead to real policy change; and with leading researchers across three Universities, Lancaster, Leeds and Sussex. About you A PhD is not a formal requirement for this role – we
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distributed systems. We target conceptual research along with experimental methods. As a Programme Grant there is considerable flexibility in the research agenda to allow the right candidate to have significant
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spatially offset Raman spectroscopy (SORS) as a healthcare tool for use in the community for bone health. We are seeking a data analyst with a PhD in data science and expertise in chemometrics, machine
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team, you will be responsible for: • theoretical analysis of methods for calibrating and optimising simulation-based DTs • developing and maintaining research code implementing these ideas
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of the Lancaster REEFs group. They will work alongside PhD students to develop methods, data and analytical approaches. They will contribute to building collaborative networks with international partners (both
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speech technology to feed into this strand of the CELIA project. In line with the guiding principles of the CELIA project, the specific methods in focus promote explainability, transparency and use
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Associate to undertake a rapid literature review on co-production and recruitment strategies involving heterosexual men, support the design and delivery of a descriptive international mixed-methods survey