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, predict, and improve the behaviour of complex material formulations under RAM conditions, helping to establish a more rigorous scientific and engineering basis for this emerging technology in demanding
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During widespread outbreaks of infectious disease, governments may impose population-level interventions to protect public health. Lockdowns are extensive social and economic closure across whole
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perceived time pressure, traffic density, uncertainty, expectations of disruption and the physical/social environment. Such acute situational stressors arise in scenarios ranging from routine congestion
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, or have high embodied carbon/energy associated with their production [2]. This project is focused on the separation of silicon photovoltaic modules in order to extract and recover the materials within
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are looking for a highly talented and dedicated PhD student with a 1st class or 2:1 degree in the field of Social Sciences, Behavioural Sciences, or Applied Health Sciences (e.g. Psychology, Education, Social
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, Criminology, Social Policy, Computer Science/Mathematics. An MSc degree in a relevant area is desirable though not necessary. Previous experience with quantitative and qualitative data, particularly within a
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, social, cultural, and structural factors. The PhD aims to develop and test a novel systems-based framework to inform both policy and practice, identifying leverage points for more effective intervention
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policy impact. We are looking for a highly talented and dedicated PhD student with a 1st class or 2:1 degree in a relevant social sciences discipline (e.g. sociology, geography or economics). An MSc degree