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, especially under extreme weather conditions. High-resolution subsoil characterization using electromagnetic induction (EMI), electrical resistivity tomography (ERT), and ground penetrating radar (GPR) will be
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infrastructure is needed? What is a cost-effective design for this infrastructure and what framework conditions need to be created? To answer these questions, you will perform the following tasks: Identifying
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Good knowledge of AI and applied Machine Learning Hands-on experience with High Performance Computing Systems Basic knowledge of System Architecture of Supercomputers and NVidia-GPUs Practical experience
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Your Job: Random unitaries are a ubiquitous tool in quantum information and quantum computing, with applications in the characterization of quantum hardware, quantum algorithms, quantum cryptography
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fundamentals of chemical reaction engineering Construct and operate continuous experimental plants Use state of the art techniques to investigate the functioning of applied catalysts Develop analytical
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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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energy system model workflows Your Profile: Master’s degree in computer science, data science, natural sciences, economics, engineering, mathematics or a related field of study Huge interest in data
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supply system for providing electricity (and heat/cooling) for the DAC plant Detailed model for DAC operation with respect to fluctuating energy supply and climatic conditions Model for assessing
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-electrolysis). High-temperature electrolyzers (SOE; solid oxide electrolyzers) are one of the electrolyzer technologies. SOEs are based on ceramic cells, which today are produced using typical ceramic
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-called lean alloys, and material systems with a high tolerance to impurities from the use of secondary raw materials are of particular relevance for improving recyclability and sustainability. Al-Ca is a