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application process, please contact gps.pgr@newcastle.ac.uk .
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to achieve efficient and proactive reconstruction of the printing process, enabling real-time in-situ monitoring of large-volume material deposition and 2) How to adaptively compensate for size-induced defect
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learning (ML) techniques to gain new physical insights into fundamental questions about viscoelastic flows in both canonical configurations and porous media applications. ML techniques will be leveraged
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embanked, drained and reclaimed for agriculture, but now efforts are being made to restore them through a process called managed realignment. A key feature in the design of managed realignment sites is the
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, nuclear engineering, fusion energy, chemical engineering, physics, chemistry, mechanical engineering to name a few. No prior experience is mandatory. Some knowledge of fusion basics and/or microstructural
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functional performance of the components and the key process parameters. The project will deal with the design of special process setups, testing its working principles and performances followed by
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the National Physical Laboratory (NPL) and Waters-TA Instruments, this project will investigate key measurement techniques, such as thermal analysis, rheology, and mechanical testing, to characterise
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will provide training in nanomaterials synthesis, soft matter physics, X-ray scattering, and data-driven experimental design. The student will gain expertise in an emerging area of colloidal science
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unexplored. Commonly used chemicals and dyes in textile production could potentially inhibit the biodegradation process, raising questions about their long-term environmental footprint. As such, understanding
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to that data will be strictly controlled. More information relating to the manner in which we process your personal data is located within our privacy notice for staff, job applicants and others working