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term position until 31st July 2026. Working in the Project Management Office (PMO) and reporting to the Head of Projects and Portfolio, you will support the programme leadership as a central source of
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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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present on the Lancaster campus a minimum of two days a week. Candidates who are considering making an application are strongly encouraged to contact one of the people below to discuss the MARS programme in
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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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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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Centre for Polar Observation and Modelling (CPOM) land ice altimetry activities at Lancaster University, and will work to deliver a programme of high impact research. The primary responsibilities
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@lancaster.ac.uk to discuss the MARS programme in greater detail. How to apply Submit a job application via the ‘Apply Online’ button and upload the following mandatory attachments in PDF format with your
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programmes on 13 January 2026 12:00-13:30 (GMT). Prospective students will obtain information about our PhD programme and the application process, funding, our world-leading research, living in Lancaster, and
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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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School of Computing and Communications Location: Bailrigg, Lancaster, UK Salary: £32,546 to £37,174 Full-time/Fixed Term Closing Date: Wednesday 15 October 2025 Interview Date: To be confirmed