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, migration, and accumulation of precipitated particles in CO2–water–rock systems using computational fluid dynamics (CFD) coupled with discrete element method (DEM). The research outcomes will provide critical
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-term adaptation pathways that will help to navigate severe socio-economic disruption from drought events. This PhD studentship is part of the Water Infrastructure & Resilience (WIRe) CDT funded by EPSRC
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-benefit infrastructure solutions to support long-term water security. Funded by School of Engineering, Newcastle University , this PhD studentship is part of the Water Infrastructure & Resilience (WIRe) CDT
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communication skills. As part of the iCASE programme, you will undertake a three-month placement at Aelius Biotech, gaining experience in translational research, regulatory pathways, and commercialisation. Number
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at the 2026/27 UKRI rate) (note that the 2025/26 rate is £20,780), and a research training support grant of £20,000. Overview This PhD project is part of the EPSRC Centre for Doctoral Training in Process
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products play a vital role by enabling cleaning at lower temperatures and with less water. A key component in these products are polymer additives, which enhance cleaning performance by aiding in soil
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applications from under-represented groups. Part-time study options are available. Number Of Awards 13 PhD studentships offered across all partner institutions Start Date 1st October 2026 Award Duration 3.5
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. Overview This PhD project is part of the EPSRC Centre for Doctoral Training in Process Industries: Net Zero (PINZ) . The PINZ CDT will train the next generation of process and chemical engineers, and
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performance of AI models for fall detection. The research will combine experimental studies on different floor systems, finite element simulations of vibration propagation, and AI-based signal analysis
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on empirical optimisation, leading to inefficiencies in energy use and impurity removal. This PhD project proposes to develop a Coupled Computational Fluid Dynamics-Discrete Element Method (CFD-DEM) model