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studentship (UK nationals only) Tax-free stipend: £25,000/year Full home tuition fees paid £2,000/year for consumables and travel MTC funding requires passing security checks prior to starting Project aim
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studentship (UK only) Tax-free stipend: £25,000/year Full home tuition fees paid £2,000/year for consumables and travel MTC funding requires passing security checks prior to starting Project aim Deliver a
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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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our capacity to dissect contact-dependent communication. Synthetic biology approaches, such as the engineered synNotch system, have been successfully applied in models including mouse and fly. Zebrafish
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Computer Science, Mathematics, or related areas. • Strong background in at least one of the following: formal methods, SMT solving, abstract interpretation, or model checking. • Experience with verification tools
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Programming Intelligent Modelling and Analysis Mixed Reality Lab Lab for Uncertainty in Data and Decision Making Visualisation and Computer Graphics Responsible Digital Futures The studentships available
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PhD Studentship - EASTBIO - Functional Genomics of Host Determinants in Viral Entry and Transmission
work will include mammalian cell culture, CRISPR-based gene editing, and infection models using pseudotyped and replication competent viruses. The student will learn to perform and interpret high-content
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understanding of the impact of these signals on lymphocyte function in healthy immune responses is currently limited. We have shown using in vitro models with healthy human donor cells that noradrenaline
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primary research aim will be to explore how the geometry of data can help build better uncertainty-quantifying models, particularly for complex data types like molecules and images. However, other research
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maximum of ONE student per project. This process will ensure an excellent fit of student to project and also an excellent strategic fit of the project within the faculty. Project titles: Bayesian methods