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Computational Chemistry methods to model enzymes and polymers. Designing and optimising novel biodegradable polymers. Integrating novel AI tools into the discovery process for new polymer candidates. Project
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study of some of Egypt's earliest metal objects found in funerary contexts. Using advanced non-invasive analytical techniques, the research will evaluate manufacturing methods, technological choices, and
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also be explored. The research methods would range over modelling, design and system-level validation using SOC techniques established by Siemens EDA. Validation criteria would factor in design
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cerebrospinal fluid of sleep apnoea patients, suggesting that sleep apnoea is a potential risk factor for AD. Project aims and objectives This project aims to measure levels of AD biomarker in the blood of OSA
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adverse consequences for overall thermal efficiency and component life (environmental impact, sustainability and safety). While standard analytical models for heat transfer exist for classical cases
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(3.5 years). Project Description Electrochemical lithium extraction offers an appealing method for extracting lithium from low-concentration brine lake water or seawater, without the need for the time
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challenges to the electricity transmission and distribution system, as solar power is not dispatchable and therefore its incorporation as a major element of the generation mix requires the accurate prediction
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This PhD scholarship is for candidates interested in developing culturally inclusive AI by creating methods and datasets to align large language models with global social and legal norms. This PhD
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challenges to the electricity transmission and distribution system, as solar power is not dispatchable and therefore its incorporation as a major element of the generation mix requires the accurate prediction
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on development of novel methods involving organic chemistry, transition-metal catalysis, photocatalysis, enantioselective catalysis, and C-H functionalization as well as reaction mechanism elucidation