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This project targets the development of advanced grey-box modeling frameworks for multiphase flow systems, combining mechanistic, multi-scale flow models with data-driven inference and uncertainty quantification
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on developing methodologies for high fidelity digital twin targeting industry scale wind turbines within the European Horizon Europe MSCA Doctoral Network "Coupled Problems for Decarbonization in Industry 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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ensures safe operations. Our activities are related primarily to development and application of numerical modelling, e.g. CFD, FEA, FSI, optimization, ML, but we are also involved in both experiments and
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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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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | about 1 month 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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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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field interactions Tuning of the CFD models with experimental results Artificial Neural Network training and development Scientific publications in journals and at conferences Supervision of students Your
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postdoctoral researcher will contribute to the development and validation of computational models for the co-precipitation of FePO₄/LiFePO₄ in CSTRs. The work will involve building multi- scale CFD frameworks
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learning and development Proficient in technical writing and presentation Possess strong analytical and critical thinking skills Where to apply Website https://www.timeshighereducation.com/unijobs/listing