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to enable quantitative, high-resolution, time-lapse monitoring of soil properties and will be implemented using high-performance parallel computing. This PhD position offers the opportunity to work at the
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of neuromorphic and brain-inspired computing NETWORKING & EXCHANGE: Collaboration in a national research unit funded by the German Research Council (DFG) and participation in (international) conferences and project
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: Developing and applying simulation and optimization models to analyze energy flows, operational strategies and design decisions in a multi-energy system (power, gas, heat) Investigating different community
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-to-X systems using high-temperature electrolysis (SOEC). The developed methods will serve to optimise the operation of SOCs for hydrogen production both technically and economically and improve tolerance
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stack designs, operating strategies and measurement methods for power-to-X systems using high-temperature electrolysis (SOEC). The developed methods will serve to optimise the operation of SOCs
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: Investigate and design optimal computing and communication architectures for hardware acceleration of large-scale machine learning workloads Perform characterization and modeling of electronic and optical
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in high-performance computing, numerical simulation Fluent in written and spoken English Independent, analytical, and team-oriented working style You are independent, motivated, and passionate about
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Germany Type of Contract To be defined Job Status Other Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research
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Germany Type of Contract To be defined Job Status Other Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research
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tunability and high-order dynamics to realize dendrite-inspired functional circuits. These circuits will subsequently be integrated as core computational modules within unconventional computing architectures