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Field
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Current modelling and simulations require either generic assumptions to be made for fluid dynamic based modelling leading to inaccuracies between modelled and experimental data or, intense
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suicide studies and critical race theory; Awareness of qualitative research methods, especially ethnography and participant observation. An online information and Q&A session regarding this post will be
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; Midlands Graduate School Doctoral Training Partnership | Loughborough, England | United Kingdom | about 1 month ago
to commence in October 2025. Project Information Intersectionality theory describes the ways in which systems of discrimination/oppression are interdependent/interactive, producing inequalities that cannot be
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Computation and Data Driven Design of Materials for Onboard Ammonia Cracking This exciting opportunity is based within the Advanced Materials Research Group at the Faculty of Engineering which
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Computation and Data Driven Design of Materials for Onboard Ammonia Cracking This exciting opportunity is based within the Advanced Materials Research Group at the Faculty of Engineering which
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to offer funding for a psychology graduate who is interested in undertaking a PhD about the timely identification of adults with learning disabilities and/or autism who encounter criminal justice and require
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the electricity generation mix continues to grow. Installed capacity in the UK in 2020 was 13.4 GW and is expected to increase to 40 GW by 2030. Accelerating the adoption of solar energy will present significant
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the electricity generation mix continues to grow. Installed capacity in the UK in 2020 was 13.4 GW and is expected to increase to 40 GW by 2030. Accelerating the adoption of solar energy will present significant
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human experiments, either in the lab or online. Knowledge of game theory, decision-theory or behavioural economics. Experience analysing experimental data, using R or a similar statistical tool
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This is a 3.5 year PhD studentship that will focus on advancing the nonlinear dynamics and statistical rigour of and methodologies for early warnings for tipping points in nonautonomous systems