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Field
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technology (FinTech) Payment technologies and the future of money Explainable artificial intelligence (AI) in financial services Integration of FinTech and big data in financial markets and sustainable finance
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-term risk to society (WEF, 2025). The increasing advance of large language models (LLMs) has led to a rapid rise in LLM misuse by malicious actors, for the purposes of low-cost generation of fake news
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writing and implementing code alongside extracting information, trends, and patterns from large datasets. Topics to explore during this PhD project include: Investigating available software options Methods
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the rich, unstructured information found in clinical notes and cannot effectively gather data on lifestyle and social determinants of health. This PhD project will pioneer a novel, hybrid AI framework
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21 Oct 2025 Job Information Organisation/Company The Institute of Cancer Research Research Field Biological sciences » Biology Mathematics » Computational mathematics Researcher Profile First Stage
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DoS: Dr Michelle Harris 2nd Supervisor: Dr Andy Parsons 3rd Supervisor: Dr Katie Jones 4th Supervisor: Dr Giuliano Laudone Applications are invited for a 3.5 years PhD studentship, starting 01
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Environment - Wiley Online Library Additive Manufacturing: A Comprehensive Review Big data, machine learning, and digital twin assisted additive manufacturing: A review - ScienceDirect Full article: Achieving
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technologies and the future of money Explainable artificial intelligence (AI) in financial services Integration of FinTech and big data in financial markets and sustainable finance. To discuss the entry
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, etc. Start date: 1 October 2026 Additional Funding Information This PhD project is fully funded by the Leverhulme Trust and the University of East Anglia for 42 months. Funding includes tuition fees
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Spectrometry Facility at Birmingham; a large, multidisciplinary research team that works together operating the latest state-of-the-art mass spectrometers. The PhD will start with extensive training in the state