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The Department of Accounting and Finance at Lancaster University Management School (LUMS) invites applications for their PhD programme in Accounting and Finance. You will be working alongside world
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internal / external systems and data sources Develop scalable C# .NET Core applications with a focus on high performance Building user interfaces using Angular or similar frameworks Develop and optimise SQL
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prototyping with access to Lancaster's high-performance computing facilities. Essential Requirements • PhD in Machine Learning, Computer Science, Computational Neuroscience, or related field
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research talent to develop and flourish. In REF 2021, 90% of our research was rated world-leading or internationally excellent. Our commitment to high-quality doctoral research is demonstrated by LUMS PhD
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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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team Our small and friendly team works closely with senior management to provide project and programme management to initiatives of significant scale and scope critical to delivering aspects
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and then shaping a progressive, high-performing and resilient organisation for the future, we would be delighted to hear from you. For more information, please visit www.andersonquigley.com/lancaster
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data and Duolingo’s adaptive‑testing platform, ensuring that our methods are both sound and scalable. Lancaster University will provide dedicated high‑performance computing resources and expert