63 data "https:" "https:" "https:" "https:" "University of Aberdeen" positions at Lancaster University
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characterisation of engineered forms of Rubisco activase with enhanced thermotolerance. You will design and carry out experimental and computational work, analyse data, present results in oral and written form and
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-of-the-art labs housed in a completely refurbished building. Further information about the Department is available at: Chemistry - Lancaster University Informal enquiries are welcome and should be addressed
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taking and meeting coordination Experienced in organising travel arrangements (desirable) Professional, proactive, and able to handle sensitive information with discretion Why join us? This role offers
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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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activity and nutrient fluxes over time. You will have experience in the in the analysis of soils for nutrients and microbial properties using a range of experimental approaches and be competent in data
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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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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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for further funding to extend the post. Candidates with any background that is relevant to this research will be considered. Preferred candidates will have a PhD or equivalent, with relevant experience in data