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Reference: 0181-26 Senior Research Associate in Machine Learning for Speech Processing Department: Phonetics Laboratory / Linguistics and English Language Contract: Full-time (1.0 FTE), fixed-term [18 months
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under-represented in the arts sector. We will guarantee an interview to disabled candidates who meet all essential criteria. The recruitment process for this post will take place over two days, on 04 and
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University Campus. Whilst working hours are predominately University core hours (Monday - Friday 9am - 5.30pm), to support the operation of sport activity there may be the need to work flexibly, supporting
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processing and storage. However, the heat produced by modern data centres has already become a serious limitation to further increase their performance. At present, the data industry lacks a solution for this
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: • Lead and manage the day-to-day organisation and operation of one of our rooms, ensuring high standards of care, learning, and safeguarding are consistently achieved. • Provide line management
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Intelligence and machine-learning approaches and emerging digital technologies such as non-contact sensors, smartphones, and computer tablets. This theme could also include research in data analytics and
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will join the world-leading team in ultrafast magnetism and THz photonics. The project is based on the recent breakthroughs: 1. Phys. Rev. Lett. 135, 246703 (2025) https://doi.org/10.1103/ldnx-67qz 2
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process and the contact study to produce engagement materials for schools and support wider project dissemination. Depending on experience, you may also contribute to project coordination and school liaison
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University, including information on our wide range of employee benefits, support networks and our policies and facilities for a family-friendly workplace. Visit our employee benefits on our website - https
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the curriculum online for more information: https://lancaster-online-education.ac.uk/masters/msc-cyber-security/ We are particularly looking for candidates who are passionate about cyber security