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research challenges the PhD student might work on include: Indexing methods for dynamic, temporal, and streaming graphs Adaptive storage for static and dynamic graphs Workload-aware self-optimizing graph
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VASP, Quantum ESPRESSO, VAMPIRE, or MuMax3 Perform simulations to design and optimize material properties for the desired magnetic characteristics Complete the doctoral education until obtaining a
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framework that integrates advanced optimization techniques, such as risk-informed decision-making and parametric design, with data from reclaimed structural components. The objective is to enable resource
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powders via atomisation technique, focusing on the incorporation of various dopants and increased Si content to optimize its performance in 3D printing applications. The aim is to understand how different
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graphs Workload-aware self-optimizing graph database systems or other interesting topics in the area of graph database systems more or less related to the aforementioned ones. The work will be performed in
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ventilation of the compartment. It will include collaboration and participation in experimental work. Close collaboration and communication with relevant actors in the FRIC network will help to optimize
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for Energy Technology, IFE). Duties of the position Carry out research of high quality within the scope described above. Develop mathematical models and computer code for optimization and simulation of energy
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of the conditions that optimize the environmental sustainability of hydrogen systems as energy fuels or storage solutions depend on the local context, specific technologies, and weather patterns, as well as possible