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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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learning and machine learning for biological data Sequence and structure analysis of large-scale datasets Functional annotation and evolutionary analysis Collaborative research with experimental virology
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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
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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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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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they affect local and regional flood risk. This PhD project will explore how riverbeds in large tropical systems respond to the pressures of sand mining, and whether disturbed beds recover once mining stops
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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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PhD Studentship in Aeronautics: How offshore wind farms and clouds interact: Maximising performance with scientific machine learning (AE0078) Start: Between 1 August 2026 and 1 July 2027
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multimodal data, ultimately uniting rigorous machine learning foundations with biological discovery. Project details This PhD project will contribute to the development of generative models for multimodal data
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Application deadline: 30/11/2025 This 3.5-year PhD project is fully funded and home students, and EU students with settled status, are eligible to apply. The successful candidate will receive