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structure. This PhD project will investigate systemic financial risks emerging from the convergence of agentic artificial intelligence and retail trading platforms. Using a combination of experimental
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understanding of the dynamics of an interconnected world and provide context for pressing societal challenges such as inequality and climate change. The PhD position will be based within the Colonial Structures
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reporting regularly Work in a structured way, set goals and make plans to achieve them Show curiosity and a strong motivation for the subject Be flexible and open to adjusting the plan for the project as
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reporting regularly Work in a structured way, set goals and make plans to achieve them Present and discuss your research with other professionals Get involved and contribute constructively with feedback Work
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: Engineering design & CAE (e.g., structural/thermal/fluids workflows) Chemical and process industries (e.g. optimization, control, surrogate models) Related computational engineering problems where simulation
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of international scientists will guide and support PhD candidates throughout their projects. Structured mentoring and training including summer schools, industry internships, hard and soft skill workshops and
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fluorescence and soft-X ray imaging Generate a model of mammalian cell infection with influenza virus and characterise the time-course of ultrastructural changes. Assign structural variability profiles given a
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robotic structures with intelligent control to study how body deformation and surface interactions enable agile, adaptive movement. The project emphasizes the integration of novel mechanical designs
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-based materials used in applications ranging from plumbing to transport. They are also nature's preferred way of providing structural scaffolding within cells (the cytoskeleton), and within tissues
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semi-structured interviews, surveys, focus groups, analysis of existing data sets, and fieldwork with critical analysis, contributing both to academic debates and to practical understanding