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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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to start as soon as possible. You will be expected to write python code to combine and reduce data from multiple sources, some of which will be incomplete. People with strong python coding skills and
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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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. Information session We are inviting you to attend an online information session about LUMS PhD programmes on 13th January 2026, 12:00-13:30 (GMT). Prospective students will obtain information about our PhD
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of receiving a scholarship, we advise all candidates to submit their application as soon as possible. Online information session We are inviting you to attend an online information session about LUMS PhD
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parameter, representing the elementary act of writing a bit of information. As THz photons exactly match the excitation energy, this represents the optimally energy efficient switching regime, avoiding
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University and are able to make informed decisions about higher education. For more information about the Lancaster Access Programme, please visit the LU website: www.lancaster.ac.uk/schools-and-colleges/lap
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Lancaster University Information Systems Services (ISS) department is looking for a Senior Developer to join the Enterprise Operations team on a Fixed Term Contract. The contract will be 6 months duration
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, understand the support available to them, and feel confident and connected throughout their studies. You’ll contribute to digital induction training, create information and guidance materials, and support our
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of receiving a scholarship, we advise all candidates to submit their application as soon as possible. Online information session We are inviting you to attend an online information session about LUMS PhD