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. Experience of the development, validation, analysis and reporting of complex decision analytic cost effectiveness simulation models. Experience of the application of advanced value of information analysis
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experience in data-knowledge fusion-driven dynamic modeling of complex structures, specializing in uncertainty quantification of nonlinear systems and intelligent model order reduction methods, with at least
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Sciences . It includes mathematical and physical modelling, numerical simulations of materials and nanosystems, low-dimensional systems, quantum matter, statistical physics, and complex systems
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becoming standard practice. However, achieving formal assurance of software correctness remains a complex challenge. Seminal work in programming language semantics provides powerful frameworks
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genome-wide profiling of DNA, providing a true picture of DNA methylation complexity in IPF. Integration with spatial gene expression will provide an indication of the distinct functional relevance of DNA
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resting conditions. The researcher will use a combination of synovial tissue organoid systems and transgenic mouse models to delineate the role of the proteoglycan-4 (the gene that encodes lubricin) in
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analysis is a requirement Experience in using relevant software to perform complex tasks, e.g. R, ArcGIS, and Python is a requirement Experience in the mapping and modelling of ecosystem services is an
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of unspliced genomic RNA are selectively packaged into virions from a complex mixture of cellular and spliced viral RNAs. This specificity is driven by cis-acting packaging signals (Ψ) within the 5' untranslated
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algorithms, including machine unlearning techniques, to enhance model robustness and reliability. Design and execute rigorous AI testing frameworks to assess and mitigate risks in AI systems. Collaborate with
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pathogens. The successful candidate will make extensive use of a range of in vivo models of fungal infection and will have access to the wide range of transgenic tools and in vivo immunology techniques