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background relevant for hydropower inflow forecasting and/or optimization of water resources management You must have a Master's degree in one of the fields Hydraulic engineering, Hydrology, Hydropower
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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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proteins can replace meat is generating hype, optimism and substantial investments. Whether involving insects, plants, lab-grown meat or other ingredients, alternative proteins come with high expectations
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understanding of the transition to the Leidenfrost state, and (ii) optimize the heat transfer between the droplet and the substrate. The practical implications will be leveraged by non-academic institutions
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experimental data. Analysis of optimal design conditions of the process. Parametric studies to assess the concept’s capabilities and boundaries including operation at off-design conditions. Use of AI-based
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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