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                to challenging questions in the field of computational material design, especially with the help of CALPHAD-based methods. For further development of our simulation environment (https://github.com/cmatdesign 
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                challenges which experimentalists must consider – computer simulations of molten salts are therefore a very valuable guide to efficient experimentation. Molten salts have been well-studied using classical 
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                property simulations of ammonia–hydrogen mixtures. It will leverage multiphysics Direct Numerical Simulations (DNS) with detailed chemical kinetics and coupled thermal radiation to improve chemical 
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                partner from data sciences provides data management and AI based Image analysis, an internal experimental group, and an internal simulation-sciences group (You+Supervisor+support by lab 
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                theoretical and practical limitations. Their results are often plagued by false positives (reporting problems that are not real) and false negatives (missing real issues). This PhD project aims to improve 
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                research group focusing on the societal and governance implications of Artificial Intelligence. The lab has strong expertise in AI, simulations, and responsible technology design. The Department 
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                simulation, stakeholder mapping, and scenario analysis. The project is led by Professor Frank Dignum (main supervisor) and Dr. Jason Tucker. Requirements The general admission requirements for doctoral studies 
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                , expected gains have stalled due to system bottlenecks. The project identifies these gaps, compares with Spain’s best practices, and supports future-oriented policy planning through simulation, stakeholder 
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                to the space-based LISA observatory. The research will advance post-Newtonian waveform modelling through improved analytical techniques, incorporate strong-field information from numerical relativity simulations 
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                /PhD) or related field. - Simulation & data: TRNSYS (or similar), time-series processing; Python (pandas/numpy). - Experience with GIS and/or climate/solar datasets (e.g., METEONORM, PVGIS