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team Our small and friendly team works closely with senior management to provide project and programme management to initiatives of significant scale and scope critical to delivering aspects
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flexibility to deal with ongoing developments within the placement programme and Employability Team. Experience of working in a student facing role and an understanding of student employability needs is
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term contract for a 12 month period, to provide a professional service for undergraduate programme delivery. You will be a member of the Biomedical & Life Sciences administrative team of Undergraduate
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Pre-School Centre Location: Bailrigg, Lancaster, UK Salary: £23,580 full time, fixed term Closing Date: Thursday 27 November 2025 Interview Date: Tuesday 02 December 2025 Reference: 0893-25 Is this role for you? Are you passionate about working in Early Years and providing quality early years...
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. You will also be expected to propose follow-on research based on the initial programme of work and to use the results to feed into the wider project team’s agenda. You will be responsible
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for the development and day-to-day management of the system which will initially use face recognition technology. As such, the candidate will be expected to have excellent software engineering/computational skills as
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data and Duolingo’s adaptive‑testing platform, ensuring that our methods are both sound and scalable. Lancaster University will provide dedicated high‑performance computing resources and expert
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of working in a similar environment. You should be comfortable working with computers and multiple software systems. You will need to be educated to GCSE level in Maths and English and be committed to high
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People and Organisational Effectiveness Location: Bailrigg, Lancaster, UK Salary: Senior Salary Closing Date: Monday 17 November 2025 Interview Date: Tuesday 20 January 2026 Reference: 0814-25 Lancaster University is a globally engaged institution set within a 578-acre parkland campus, home...
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). The postholder will have a PhD in speech science, speech technology, linguistics, data science, computer science or related discipline. Ideally, they will have experience in working with large datasets of speech