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. The broad aim of the PhD research is to train the student with skills to investigate self-assemblies of lipids and biocides (cationic surfactants) and their cross-assembly processes, and identify how
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manufacturing (3D printing) techniques. The purpose of the studentship is to develop a next-generation in vitro model of aged human skin to evaluate the cytocompatibility of materials used in maxillofacial
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(ESBMC, CBMC, Z3, or similar) – either academic or practical. • Programming proficiency in C/C++, Python, and familiarity with software verification tool development. • Understanding of ML/NLP fundamentals
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protein synthesis platforms. These modified proteins will be studied for their biophysical properties, reactivity, and potential applications across chemical biology, therapeutic development, and
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this to increase each year. The start date is January 2026 or April 2026. Exceptional overseas students are also encouraged to apply. Any force developed at the macroscopic scale can induce dramatic changes
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operation and stability limits. Models will be developed and different configurations will be compared. The successful candidate will have the opportunity to interact with GE Vernova’s engineering staff and
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-cases of classical supercomputers, the development of quantum CFD algorithms will be of widespread benefit upon the arrival of fault-tolerant quantum computing. This project involves the adaptation
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range of reactivity, and particularly C-C bond formation. Directed evolution approaches will then be applied to guide the selectivity of the new enzymes towards target molecules and drug fragments
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interference, while ensuring energy-efficient and scalable operation. This PhD project will focus on developing machine learning algorithms to enable robust channel estimation, intelligent user association
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in the felt structure, making traditional regeneration or disposal techniques both technically and environmentally inadequate. This PhD research seeks to redress this imbalance by developing scientific