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of superconducting qubits to quantify performance and identify limiting physical mechanisms Perform quantum device calibrations, benchmarking, and run quantum algorithms Presenting and publishing the research
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systems on different temporal and spatial scales. For our Research Group Applied Optimization we are looking for a PhD student: New Deep Learning - based Framework for Energy Modelling: Combination
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system modeling Analysis of global sustainable water availability under different climate change scenarios Research on water-efficient practices and technologies, taking water quality into account
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Your Job: Join the Safe.SIB research project to develop new battery cell chemistries or introduce new functionalities into an existing battery technology to achieve safe, ultra-high performant
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Your Job: One essential step towards the ramp-up is the identification of site-specific optimal design of DACS plants, which will be the focus of the advertised PhD. To identify optimal DACS plant
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out within the DFG Priority Programme “DaMic - Data-driven Alloy and Microstructure Design of Sustainable Structural Metals” (SPP 2489), in close collaboration with a research partner responsible for
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transition. The optimal production, transport and storage of hydrogen are indispensable for it. The researchers are working on the system design of mobile hydrogen storage, infrastructure for stationary energy
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Your Job: This PhD thesis aims to quantitatively study the initial stages of light conversion into electrical signals in Si-based photovoltaic devices. The research will employ off-axis electron
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, mathematics, computer science are passionate about transportation research with a good grasp on the fundamentals of transportation systems optimization possess excellent research, academic writing, and
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, miniaturised devices for biomedical research, and to other specialised applications. However, our current understanding of the key factors that affect their performance is limited by the fact that most