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Field
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This self-funded PhD opportunity sits at the intersection of several research domains: multi-modal positioning, navigation and timing (PNT) systems, AI-enhanced data analytics and signal processing
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is desirable. This interdisciplinary project is suited for students who wish to gain expertise in both human health and data-driven biology. Please contact Dr Irina Chelysheva (i.chelysheva
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This PhD project is at the intersection of electromagnetism, numerical methods, and high-performance parallel computing, with application towards the design and optimisation of integrated circuits
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mortality using traditional and new forms of data, with a focus on developing and low-income countries. The successful applicant will spend 18 months at LSHTM and enrol in the PhD programme, with fees funded
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background in biostatistics or data science, and a clear interest in applying these skills to questions of causal inference in longitudinal observational designs. Please note the funding is only available
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the recording of substrate-borne vibrations produced by earthworms (and other invertebrates) in situ. To fully exploit this emerging technology there is a need to unravel the meaning within the data. As such
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This self-funded PhD opportunity focuses on assured multi-domain positioning, navigation, and timing (PNT), integrating data from space-based, terrestrial and platform-based sources of navigation
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PhD Studentship: Developing Self-Healing Coatings for Hydrogen Storage Systems Award Summary 100% fees covered for four years and a minimum tax-free annual living allowance of £20,780 (2025/26 UKRI
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effective strategies for preventing, identifying and stopping the abuse of older people? While the advanced methods training of the PhD will be data science and statistical analysis, there will also be
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the PhD student in high-performance computing, computer programming, applied mathematics, fluid mechanics, mathematical modelling and data analysis for large datasets -of the order of 100 Terabytes