Sort by
Refine Your Search
-
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
-
. • Developing collaborations with academic, industry partners and EPSRC projects. You will have a PhD in Computer Science or equivalent with experience in cyber security, distributed systems and assurance
-
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
-
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
-
or master’s course with substantial mathematical content, e.g. mathematics, statistics, physics, management science, or computer science. Early applications are encouraged, as candidates will be invited
-
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
-
5 Sep 2025 Job Information Organisation/Company Lancaster University Department Engineering Research Field Engineering » Electronic engineering Engineering » Mechanical engineering Engineering
-
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
-
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...
-
). 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