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Field
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bounds. Design transmission codes that achieve these theoretical limits, ensuring optimal trade-offs between detection avoidance, sensing accuracy, and communication reliability. Develop advanced
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) Familiarity with image transforms, entropy coding or noise characterisation Funding and Eligibility: Funded PhD. UK Student Supervisors Dr Jay Warnett (WMG) Dr Randa Herzallah (Mathematics)
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Portal Once registered select ‘Create a Postgraduate Application’. Use ‘Course Search’ to identify your programme of study: · search for the ‘Course Title’ using the programme code: 8208F
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Portal Once registered select ‘Create a Postgraduate Application’. Use ‘Course Search’ to identify your programme of study: Search for the ‘Course Title’ using the programme code: 8208F Leave the ‘Research
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the University’s Application Portal: applyto.newcastle.ac.uk In ‘Course choice’ tab: Type of Study - ‘Postgraduate Research’ Mode of Study - ‘Full Time’ Year of Entry - ‘2026’ Course code ‘8370F’ Research Area
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chemistry, modelling, and scientific coding, and who are keen to develop these skills while contributing tools that advance the field and support clean growth and Net Zero technologies. Applicants should have
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an advantage if you have Interest in the mechanical behavior of materials. Experience with machine learning and/or programming/coding. Experience with finite element modeling from civil, mechanical, or marine
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children. Mechanistic modelling of disease transmission involves the use of computer code to represent the epidemic dynamics of infectious disease spread within the community. This allows modellers
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demonstrator for an offshore turbine capable of streaming data and producing CFD‑quality flow and wake fields with ultra‑fast inference. All code, datasets, and reproducible workflows will be openly released
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. Unlike standard missing data problems (e.g., missing height or lab results), researchers often do not know when information on symptoms is missing. The usual approach is to assume that if there is no code