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) and the Structured Light Laboratory led by Prof. David Phillips at the department of Physics. The PhD studentship includes travel resources for national and international research visits and attendance
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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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talented individual who shares our goal to tackle structural inequalities in the UK labour market. About you The ideal candidate will be able to undertake research and policy analysis, help secure and manage
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behaviour, market microstructure, and platform economics to generate testable predictions and policy insights Develop and estimate structural models of trading behaviour to understand deep parameters and
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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
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understanding of polymer behaviour. You will use and develop molecular simulation tools to study curing reactions, network formation, and structure–property relationships in industrially relevant epoxy‑amine
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, deliver, and oversee a structured negotiation/mediation simulation that develops students’ practical skills in negotiation strategy, communication, and conflict resolution. Key responsibilities: Co-design
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of university processes and structures What we offer: Work-life balance: Our employees enjoy felxible working hours, remote work (upon agreement). Inspiring working atmosphere: You are a part of an international
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working in research projects International experience Knowledge of university processes and structures What we offer Work-life balance: Our employees enjoy flexible working hours, remote/hybrid and/or part
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interoperability concepts. Experience implementing structured testing approaches (unit, integration, performance testing) Desirable: A master's degree or PhD (awarded, recently submitted, or near completion) in a