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the society and industry, we strive to solve society's major challenges – together. At the Division of Fluid Dynamics , we develop advanced experimental and computational techniques to investigate flows in both
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Summary Meeting future energy demands requires efficient, low-carbon systems capable of storing and releasing heat when needed. This PhD project aims to develop next-generation latent heat thermal
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This project focuses on the development of quantum–classical modeling strategies for multiphase flow systems. The PhD topic is on exploring how emerging quantum computing methods can be integrated with classical
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for modeling multiphase flows governed by complex, nonlinear dynamics across multiple scales. The postdoctoral researcher will investigate how to develop complement/augment classical CFD methods with quantum
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cooling approaches. As the successful candidate you will also contribute directly to the engineering development and validation programme, bringing hands-on capability in 3D CAD and CFD modelling to support
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Technological Development Projects in All Scientific Domains – IC&DT2020 program, under the following conditions: Scientific Area: Mechanical and Industrial Engineering Recipient category: The BIPD are intended
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these developments have focused on conventional hydrocarbons under purely gaseous conditions. In contrast, SAF combustion in GTs occurs in a multiphase regime, where complex interactions between liquid fuel droplets
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Description REALISE - Bridging Igneous Petrology and Machine Learning for Science and Society About the REALISE Doctoral Network REALISE will train 15 Doctoral Candidates at the interface of igneous petrology
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develop an algorithm for gas emission localisation and quantification using advection-diffusion models, CFD, and Navier-Stokes equations. Working alongside Durham. Key tasks include: · Integrating
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, the fusion community has started to develop fast surrogate models based on Machine Learning / AI models to speed up significantly the employed tools. Such tools have demonstrated to be generally applicable and