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Field
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leverages structural-functional data to design, synthesise, and evaluate these compounds in relevant experimental models, including food matrices. These innovative compounds have dual potential: (i) as
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learning and machine learning for biological data Sequence and structure analysis of large-scale datasets Functional annotation and evolutionary analysis Collaborative research with experimental virology
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culture and in vitro models of mucosal immunity Data analysis using Python and digital image processing These skills are highly transferable to careers in biomedical research, pharmaceutical development
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and fluorescence imaging • Microfabrication and surface engineering • Quantitative microscopy and data analysis • Interdisciplinary collaboration across microbiology, engineering, and biophysics
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cultivation and molecular cloning Quantitative data analysis and process optimisation Synthetic and molecular biology techniques Research design, interdisciplinary collaboration, and scientific communication
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function of urban blue spaces influence perceptions. It will subsequently explore and evaluate the types of information and knowledge required to improve the understanding and appreciation of urban blue
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respond to intense rainfall and enhanced sediment transport. The successful candidate will develop advanced skills in geomorphology, hydrology, environmental data analysis, and climate resilience
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remain in aligning how physical HcI is delivered using OSC and how healthcare systems manage their supply chains. This project will develop an interdisciplinary, data-driven framework to quantify and
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. Signal Conditioning: Embedding low-power electronics for amplifying and encoding the DA oxidation current into a transmittable signal. Wireless Data Transmission: Establishing reliable signal communication
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) (Experimental)' as the programme of study You will then need to provide the following information in the ‘Further Details’ section: A ‘Personal Statement’ (this is a mandatory field) – Use this template