307 structures "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Dip" "Dip" "Dip" PhD positions in United Kingdom
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join the world-leading Advanced Nano Materials, Structures and Applications (ANMSA) Group, a hub for innovation in the development of novel micro- and nanostructures and miniaturized diagnostic
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components are designed and produced. This PhD project focuses on Molten Metal Jetting (MMJ), an emerging metal 3D printing technology that enables the precise fabrication of multi-material metallic structures
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processing (e.g., heat treatments) can have on their structure and properties, and (iv) how WELs differ in different aerospace steel grades. This PhD project will seek to address these gaps. The project will
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FFA on different type of metallic surfaces as a function of temperature and concentration. The modelling data and principal component analysis will be used to build property-structural relationships
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population health. The student will have the opportunity to attend the structured Early Detection Training Programme (run in partnership with the Alliance for Cancer Early Detection (ACED)), providing PhD
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explore how salt distribution, structure formation, water management, and flavour release interact during processing, cooking, and consumption. Using advanced characterisation tools alongside sensory and
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, material properties and formulation behaviour, the project will explore how implant structure can be designed to regulate drug transport and provide sustained therapeutic release. The overall aim is to
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master’s degree in economics, business, or any social science with the following: • Subject knowledge (economics, data science, agriculture, environmental science, or social science, structural equation
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variety of issues - including bandwidth, size and weight - which preclude their use across many technologically significant applications, such as small/compact, lightweight structures, and complex-shaped
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the most comprehensive overview of SMARTs to date and highlights several important common problems. First, sample size calculations rarely reflect the multistage structure and the intended treatment‑sequence