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equations, and numerical methods. Advanced programming skills in languages such as Python, C++, MATLAB, or R. Strong academic curiosity and enthusiasm for the chosen research area. Application Process To
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systems, financial systems and reports (such as Oracle financials or similar) with demonstrated digital literacy skills, particularly Microsoft Excel. Demonstrated ability to operate methodically with a
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linguistically diverse learners. Capacity to teach foundational computational methods, data visualisation, and digital storytelling. A demonstrated track record of quality research outputs with a focus on data
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, in various formats including images, texts and numeric values. The study of these unstructured data in the pathology laboratory information system (LIS), together with the information from
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or data to inform research outcomes. Proven skills in study design and data collection methods, including development of in-person data collection tools (such as surveys and interview schedules) and
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collection methods, including development of in-person data collection tools (such as surveys and interview schedules) and familiarity with or experience in secondary data and its analysis. Demonstrated
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to – methods of measurement, contract administration, and cost planning and control. The successful candidate will also provide high-impact research outcomes, delivered in collaboration with researchers across
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understanding of gene presence/absence, structural variations, and evolutionary dynamics. In this project we will aim to develop novel dynamic programming computational methods for pangenome assembly of diploid
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the development of numerical methods for astorphysical fluid dynamics and radiation transport. Projects may employ a range of approaches from analytic modelling and numerical calculations on desktop
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. The specific research areas we will explore are + Adaptive scientific deep learning methods for mathematical physics problems governed by partial differential equations (domain decomposition, adaptive quadrature