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Field
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Superconductors" at the Institute of Metallic Materials (IMW) offers a PhD position (m/f/div) in the field of superconducting dynamos Main tasks: The central research task is to investigate and optimize the use
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linkages based on numerical simulations and to transform them into AI- and ML-ready information to develop and implement an indirect inverse optimization framework to identify microstructures that exhibit
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on designing and synthesizing advanced materials for next-generation batteries—such as solid-state, multivalent-ion, or aqueous rechargeable systems—while collaborating with the research team to optimize
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(PCOG) at SnT, headed by Dr. Grégoire Danoy. PCOG specializes in optimization techniques, with a focus on distributed computing and AI-driven solutions PCOG conducts research in parallel computing, search
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of the research project(s), including design, fabrication, characterization, and modeling of metamaterial fibers and textiles. Develop and optimize fabrication processes for fibers and textiles. Conduct optical
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on building the next generation of quantum processors based on superconducting circuits. To achieve this ambitiuous goal, we have a variety of projects related to: Development and optimization of nano
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University – shaping the future! Optimal conditions for your doctoral training Heidelberg University is a top-ranked research location with a strong international orientation. It won the title "University
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process. Address blind inverse problems by defining a network to learn distortion functions from data, informing the optimization in the learning process. Refine optimization and learning strategies
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videos. Lifetime Persistent Name yt-player-bandwidth Use Is used to determine the optimal video quality based on the visitor's device and network settings. Lifetime Persistent Name yt-remote-connected
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mechanisms involved in the leaching of copper concentrate by glycine solutions. • Optimize process parameters such as temperature, pH, glycine concentration, and particle size to maximize copper