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interdisciplinary collaboration. This PhD project is focused on numerical simulation of resistance spot welding with existing electro-thermo-mechanical finite element modeling as a foundation. Computational fluid
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of analytical methods, digestion models, dietary modelling, and conducting consumer surveys will form part of the Doctoral Network’s tasks. The 12 PhD candidates will be based across seven different universities
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understanding of molecular thermodynamics, and realize the importance of different types of properties in selecting and developing the most physically sound thermodynamic model for water and electrolytes
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challenges associated with capturing CO₂ directly from ambient air and is suited for candidates interested in combining computational modeling with experimental electrochemistry to develop energy-efficient e
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to produce and process plant-based foods with enhanced concentration of micronutrients as an integrative part of sustainable and healthy diets. Development of analytical methods, digestion models, dietary
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of analytical methods, digestion models, dietary modelling, and conducting consumer surveys will form part of the Doctoral Network’s tasks. The 12 PhD candidates will be based across seven different universities
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mechanisms and kinetics to stabilize highly active but metastable surface motifs sustainable catalytic processes. Modeling Atomic Processes on Nanoparticles Develop atomistic models and machine-learning
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mechanisms and kinetics to stabilize highly active but metastable surface motifs sustainable catalytic processes. Modeling Atomic Processes on Nanoparticles Develop atomistic models and machine-learning
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conditions corresponding to the natural geological environment to establish a model for the potential hydrogen resource in terms of volume and generation rate. Specifically, you will be responsible