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of the central challenges on the path toward large-scale quantum computing. In this PhD project, you will investigate how machine learning can enable faster, more scalable QEC decoding. The goal is to develop new
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packaging, where EISLAB is responsible for the packaging part within a European consortium. Subject description Cyber-Physical Systems focuses on integrated software and application architectures with
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stereochemistry to shape their 3D structure and fine-tune their function. The research will integrate automated synthesis, allowing efficient production of complex polymer architectures with incorporated catalytic
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responsible for the packaging part within a European consortium. Subject description Cyber-Physical Systems focuses on integrated software and application architectures with implementations of massively
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projects. Digital VLSI and AI Hardware Systems Key research areas: ASIC/FPGA design flows; AI/edge accelerators; hardware–software co-design; modern SoC architectures; verification and architecture
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projects. Digital VLSI and AI Hardware Systems Key research areas: ASIC/FPGA design flows; AI/edge accelerators; hardware–software co-design; modern SoC architectures; verification and architecture
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to exploit the upgraded tracking detectors, as well as ensuring all code used is efficient on the changing computing architectures available. The post will also support the upgrade software for the high level
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are within two years of completing their PhD. The contract is a two-year contract, extendable by one year. Are you as excited about quantum technology and its future applications as we are? We are seeking a
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Multiple Tenure-Track Assistant Professor Positions in Microelectronics, Circuits and Systems Design
laboratory modules; mixed-signal design projects. Digital VLSI and AI Hardware Systems Key research areas: ASIC/FPGA design flows; AI/edge accelerators; hardware–software co-design; modern SoC architectures
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efficiency; cycle behaviour and degradation; influence of electrode architecture and coating morphology. A particular objective will be to identify the appropriate level of model complexity required