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through: bringing together world-leading researchers across Applied Mathematics, Computer Science, Probability and Statistics, who engage with a range of non- academic partners; transforming the people
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Technology Enhanced Learning (TEL) to become part of our internationally leading TEL doctoral programme team for 12 months. The TEL doctoral programme is delivered by colleagues in the discipline of
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Lancaster University, School of Mathematical Sciences Position ID: 3673-SRA [#27780] Position Title: Position Type: Postdoctoral Position Location: Lancaster, Lancaster LA1 4YF, United
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future complex distributed systems. Developing high quality and impactful publications. Developing collaborations with academic, industry partners and EPSRC projects. You will have a PhD in Computer Science
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prototyping with access to Lancaster's high-performance computing facilities. Essential Requirements • PhD in Machine Learning, Computer Science, Computational Neuroscience, or related field
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School of Mathematical Sciences Location: Bailrigg, Lancaster, UK Salary: £39,906 to £48,882 (Full time, indefinite with end date) Closing Date: Sunday 04 January 2026 Interview Date: Monday 09
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Management Office (PMO) and reporting to the Head of Projects and Portfolio, you will support the programme leadership as a central source of truth through the collation and analysis of programme information
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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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Is this the job for you? Are you looking for a job which offers you: the ability to work independently the benefits of being part of a great, friendly team Working hours for this role are Monday-Wednesday 9am-1pm, Thursday-Friday 9am-12.30pm plus up to 7 weekend shifts and overtime...
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professional services team. You will provide high-level administrative support for the undergraduate medical degree programme, coordinating a wide range of activities across clinical sites. Excellent