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Europe Marie Skłodowska-Curie Actions Doctoral Network (MSCA DN) COMBINE. The successful candidate will undertake research on: Deep learning for solidification in multiphase flows with radiative heat
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research group at the division of Chemistry and Biochemistry advances multiphase flow and separation science to accelerate industrial innovation and implementation. About the research project The project
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Our research group at the division of Chemistry and Biochemistry advances multiphase flow and separation science to accelerate industrial innovation and implementation. About the research project
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Our research group at the division of Chemistry and Biochemistry advances multiphase flow and separation science to accelerate industrial innovation and implementation. About the research project
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Our research group at the division of Chemistry and Biochemistry advances multiphase flow and separation science to accelerate industrial innovation and implementation. About the research project
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requirements English level B2 (CEFR) Other requirements Knowledge of multiphase flows; strong skills in CFD; Familiar with CFD tools, preferably Ansys Fluent; skills in experimentation (fluid analysis, flow
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applied physics discipline Strong background in boiling heat transfer or multiphase flows Experience in experimental research and data analysis Good publication and communication record We regret to inform
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multiphase flows Your tasks Develop and extend the in-house GPU-accelerated multiphase Lattice Boltzmann (LBM) code for DNS-grade boiling multiphase flow related to nuclear reactor operation, including bubble
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research group at the division of Chemistry and Biochemistry advances multiphase flow and separation science to accelerate industrial innovation and implementation. About the research project This project
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research group at the division of Chemistry and Biochemistry advances multiphase flow and separation science to accelerate industrial innovation and implementation. About the research project This project