5 fluid-dynamics Postdoctoral positions at Technical University of Denmark in Denmark
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statistical and machine learning techniques for dynamic energy system modelling Develop advanced optimization algorithms for building energy management and control (e.g., MPC, RL) Develop and evaluate digital
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of cementitious materials. Experience with X-ray or neutron tomography. Flexibility is essential. We are looking for a team player who can also work independently, who is motivated to help and be part of a dynamic
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-based simulation for process optimization. Developing advanced numerical models for the coupled heat and mass transfer in the float zone process including 3D computational fluid dynamics (CFD) models
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systems (MEMS and NEMS). Prof. Vincenzo Esposito leads the project in the framework of a dynamic team in the Functional Oxides section. The FOX team possesses excellent competencies and the most advanced