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Programme: Hybrid CFD and process simulation for process intensification of post-combustion CO2 capture School of Mechanical, Aerospace and Civil Engineering PhD Research Project Self Funded Prof
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, wheat and rice. Who we are looking for We seek highly motivated students with a background in plant molecular biology, cell biology, genetics, or developmental biology. Applicants should hold, or be
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, including Arabidopsis, wheat and rice. Who we are looking for We seek highly motivated students with a background in plant molecular biology, cell biology, genetics, or developmental biology. Applicants
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(MOVPE) and Molecular Beam Epitaxy (MBE) reactors, as well as a wide range of semiconductor characterization equipment (such as SEM, AFM, XRD, eCV, Hall, Nomarski, low- and room-temperature PL
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of neutron-induced nuclear recoil backgrounds with multiple scatters in LZ. Measurement and simulation of muon-induced background in the LZ experiment. You will work alongside Prof Davide Costanzo and Prof Dan
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and heat transfer in geothermal systems under high-pressure and high-temperature conditions relevant to AGS. • Developing high-fidelity direct numerical simulation (DNS) models to map
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capture technologies. In this project, you will: Develop a 3D Digital Model: Create an advanced computational model of high-pressure mechanical seals. Apply Computational Fluid Dynamics (CFD): Simulate gas
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wells under high-pressure and high-temperature conditions relevant to AGS. • Developing high-fidelity direct numerical simulation (DNS) models to map flow regimes and explore buoyancy-driven flow
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expertise in surface functionalisation and analysis, microbiology and biofilm characterisation techniques, molecular biology assessment (e.g. sequencing) and chemical analysis (e.g. chromatography) to assess
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stations, new and retrofit, leading to a substantial reduction in carbon emission to the atmosphere. This project will develop novel performance assessment tools for simulating the CO2 absorption process in