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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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imaging using deep learning. You will study the water imbibition in hierarchically porous Si‑based material systems across multiple length and time scales. These systems can manipulate fluid transport
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About the Project The future power grid will be a highly complex cyber-physical system, integrating multiple distributed energy resources (DERs) such as solar, wind, marine, and bioenergy alongside
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constrained to sports), developing corresponding solutions using informatics, analytics and/or business analysis approaches and deploying them in industry settings, along with a demonstrated ability to
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) Positions Master Positions Country Spain Application Deadline 31 Jan 2026 - 00:00 (Europe/Madrid) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme
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2026 at latest The students will be enrolled in the structured PhD programme in the Department of Bioengineering, Imperial College London. https://www.imperial.ac.uk/bioengineering/admin/research
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to obtaining their visa and to study on this programme. How To Apply Please read and complete this document as your Personal statement, and upload this with your application. Applications which do not include
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on this programme. How To Apply Please read and complete this document as your Personal statement, and upload this with your application. Applications which do not include this document will not be
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partners. They will develop advanced skills in experimental hydrodynamics, materials characterisation and computational simulation – highly sought after in the UK’s growing offshore energy sector
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industrial practice relies heavily on empirical optimisation, leading to inefficiencies in energy use and impurity removal. This PhD project proposes to develop a Coupled Computational Fluid Dynamics-Discrete