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Field
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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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://hr.admin.ox.ac.uk/staff-benefits Application Process This position is fixed term until 30/12/2026 Applications for this vacancy are to be made online. You will be required to upload a supporting statement and CV as
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control over bacterial cellulose (BC) production, aiming for modifications, enhancements, and customization through a streamlined process. This is a The RA will focus on integrating synthetic biology and
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industrial process that underpins not only the supply of consumer goods, but also the scale of food production required to feed the billions of people on this planet. However, catalysis is challenging to study
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Neural mechanisms underlying accent processing in naturalistic conversations: Insights from brain oscillations and functional neuroimaging Prof. Guillaume Thierry Applications are invited for a
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the application process please contact Simon Gurry, HR Coordinator at hradminpsychiatry@medschl.cam.ac.uk To apply online for this vacancy and to view further information about the role, please click the' Apply
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combining high-fidelity computational modelling with artificial intelligence to overcome key barriers in performance. The investigation will focus on optimising core gas exchange and combustion processes
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years in SIT after completion of PhD studies. Mid-term awardees will have a service commitment of 1 year for every year of sponsorship. Application Process Applications are open throughout the year
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of the mechanisms that lead to defect formation in DED-LB, and improve process control measures to either prevent or mitigate the defects. The additionality of external controls over the laser-matter interactions
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-treatment facilities, and biorefineries. Feedstock choice, regional dynamics, and process side-streams all affect costs, energy use, and emissions. This PhD project will develop advanced computational models