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training and supervision in the assessment of cognitive and non-cognitive symptoms of Lewy body dementia, data processing and analysis; and any other relevant training and will work closely with other
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PhD Studentship: Advancing solid-state battery electrolyte manufacturing with terahertz spectroscopy
, interdisciplinary research team working at the interface of metrology, battery materials, and ceramic processing. Building on our previous demonstrations [1], this project will begin with the fabrication and
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operating pressures of up to 50 bar during gas separation processes (e.g., CO₂/CH₄ separation). Under high-pressure conditions, skin layers may develop defects and microcracks, while polymeric supports
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the sophisticated mathematical objects required to state the main theorem. This will involve developing a computer-verified library for the two sides of the correspondence: (1) the representation theory of GL₂(F
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extraction process involves the transfer of plutonium ions, dissolved in nitric acid, to plutonium complexes in an organic phase. At high loadings, these plutonium complexes stick together to form an extended
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unique experimental platform developed in the Bakshi Lab (https://www.bakshilab.net/ ) that enables time-resolved measurements of individual bacterial cells throughout the phage infection process. The post
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be affected by the manufacturing process, heat treatment, surface condition, build direction and the transition between thin and thicker regions. This PhD will provide the scientific understanding and
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pathway to overcome the limitations of polymer-based membranes, offering superior thermal and chemical stability, enhanced mechanical robustness, and the potential for operation across wider temperature and
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-to-weight ratio and corrosion resistance. Their performance, however, is strongly influenced by microtexture, crystallographic orientation clusters that develop in the material during processing. Controlling
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, relating to craniofacial identification research and machine learning. You will require a computer science background. You will be applying AI and/or machine learning to Face Lab processes in relation