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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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“ Are you interested in the sustainable use of natural resources and would you like to research and develop new, efficient recycling methods as part of your scientific career? Then the Research Training Group
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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | 3 months ago
experience in FEA/CFD for electromechanical, thermal and cryogenic systems (COMSOL or ANSYS); programming experience in C, Python and/or MATLAB; project development and management experience; experience with
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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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field measurements and laboratory experiments Comparing and evaluating existing numerical models, including XBeach and Watlab (developed at UCLouvain/iMMC) Developing and implementing improved numerical
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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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deployment enabling validation and demonstration of real-world applications. For more details, please view https://www.ntu.edu.sg/erian We are seeking a Research Fellow to lead the development and
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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