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Engineering. For the current PhD position, you will work mainly on the lab-scale setup covering step (1) and (2), both experimentally and through reactor modelling, but you will also be involved in the work
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that combine principled mathematical modelling with learning-based refinement. The aim is to enable robust 3D reconstruction and tracking of skeletal structures such as the femur and pelvis. The research will
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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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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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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
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sources of quantum light for optical quantum computers. The project takes place in the Quantum Light Sources group at DTU Electro, where we design, model, fabricate and test sources of single photons
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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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of value-added chemicals. To this end, the PhD candidate will apply computational methods, such as flux balance analysis and genome-scale metabolic modelling, to design synthetic metabolic modules