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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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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
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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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Your Job: You will be part of a research team that applies high-throughput experimentation to accelerate research in the emerging field of electrocatalysis. Catalyst inks are at the forefront
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morphology with its performance (reactivity, selectivity, efficiency) and degradation under realistic long term deployment conditions Coordination and execution of in-house beam times Collaboration with other
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relevance HIGH-PERFORMANCE COMPUTING: Leverage cutting-edge computational resources, including access to top European supercomputers on site. STATE-OF-THE-ART INFRASTRUCTURE: Enjoy excellent scientific and
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environment within the Collaborative Research Centre TPChange program funded by the German Research Foundation and the European Research Infrastructure IAGOS Opportunities to attend conferences abroad and visit
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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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-performance computing and advanced imaging platforms to specialized experimental facilities. NETWORKING & EXCHANGE: You will participate in (international) conferences and project meetings and actively build
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Unravelling of relationships between catalyst surface structure and morphology with its performance (reactivity, selectivity, efficiency) Coordination and execution of synchrotron beamtimes Collaboration with