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of reliable gold-standard training data. Key Responsibilities Adapt and test existing automatic accent/dialect classification technology Generate results and data visualisations to reflect system performance
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want to be part of the next generation of mathematicians tackling real-world problems and shaping the future of mathematics and AI. For more information about MARS research visit our webpages here
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student recruitment targets. For further information or an informal conversation, please contact Lucy Lloyd, Faculty Marketing Manager via l.lloyd1@lancaster.ac.uk .
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. The project is led from Lancaster, drawing on expertise in atmospheric modelling and data science, and involves partners at six UK institutions and collaborators in the US. Key responsibilities As part
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suitable candidate for this position you will have: • Strong organisational skills and the ability to manage competing priorities. • Excellent attention to detail when handling applicant information
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to work on a strategically relevant project within industry, whilst receiving support and guidance from university academics. More information about the Accelerated Knowledge Transfer programme can be found
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themselves at a top 10 UK University and supporting one or more faculties to meet their student recruitment targets. For further information or an informal conversation, please contact Lucy Lloyd, Faculty
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working on campus and home. For further information or an informal discussion please contact Sarah Taylor s.c.taylor@lancaster.ac.uk Further Details The Research Services is part of Lancaster University’s
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on an indefinite contract; however, the role remains contingent on external funding, which is due to come to end 12 months from commencement of contract. For further information on the role and to discuss any
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. For more information about the role, please see the job description and person specification. If you have further questions, please contact Kirsten Mingins at k.mingins@lancaster.ac.uk. This is a full-time