27 data-"https:"-"https:"-"https:"-"https:"-"Simons-Foundation" uni jobs at Lancaster University
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Please note: unless specified otherwise in the advert, all advertised roles are UK based. Find out what it's like to work at Lancaster University , including information on our wide range
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Services areas such as Facilities and Information Systems. A wide variety of categories are managed including Laboratory Supplies & Equipment, Travel, IT, Construction, Maintenance, and Business Support
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Lancaster University are looking for a detail-oriented and proactive PMO Analyst to join our Project Management Office within the Information Systems Services Department (ISS). This is an exciting
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Reference: 0155-26 We’re passionate about education, research, our people and all things digital. We’re looking for someone who shares our enthusiasm to take up a role within Information Systems Services
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, fixed-term basis until 30 September 2026. For more information or an informal conversation, please contact Megan O’Neill, Campaigns Officer, at m.oneill6@lancaster.ac.uk .
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Reference: 0994-25 Building on Lancaster’s reputation as one of the UK’s largest cyber and data research communities the School of Computing & Communications (SCC) wishes to appoint a Teaching Fellow to
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spontaneous inner speech from noisy EEG data without precise temporal labels. Traditional classification has failed because spontaneous inner speech is sparse and co-occurs with other brain activities. We need
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including CI\CD, containerisation Complex system integrations with internal / external systems and data sources Collaborative working within a large (10+) development team Coaching and mentoring other team
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Lancaster University Information Systems Services (ISS) department is looking for two Test Analysts to join the Build team on a Fixed Term Contract until 31st July 2026. The University is undergoing a
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knowledge areas include cyber-security, applied machine learning and data mining, intelligent video analytics, natural language processing and artificial intelligence, autonomous learning and dynamically