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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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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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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
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90 are PhD students, and about 40 % of all employees are internationals. In total, it has more than 600 students in its BSc and MSc programs, which are based on AAU's problem-based learning model
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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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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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learning model. The department leverages its unique research infrastructure and lab facilities to conduct world-leading fundamental and applied research within communication, networks, control systems, AI
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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