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, and all the way to quantum algorithms and applications. The long-term mission of the programme is to develop fault-tolerant quantum computing hardware and quantum algorithms that solve life-science
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initiatives focusing on: Next-generation energy storage systems Power converter design for Power-to-X (PtX) solutions Microgrid applications Quantum computing in power systems And other emerging technologies in
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power grids are increasingly exposed to cyber attacks that can cause physical damage. AI:HARDWARE uses AI to protect this infrastructure and to design hardware that is secure by design. A key challenge is
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hardware is preferred, with special focus on nonlinear optics, metasurface‑based photonic devices, and/or neutral‑atom platforms. Experience with electronic design automation (EDA) tools is preferred
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to cyber attacks that can cause physical damage. AI:HARDWARE uses AI to protect this infrastructure and to design hardware that is secure by design. A key challenge is getting these defenses to run on small
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circuit and system design • Analog front ends, low-signal electronics, signal conditioning, and data acquisition • Low-power and energy-efficient electronics • Embedded electronics, control, and
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hardware engineers responsible for embedded system design, wireless communication modules and energy harvesting integration. The candidate will have access to TEG’s laboratory facilities for hardware
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interface, and all the way to quantum algorithms and applications. The long-term mission of the programme is to develop fault-tolerant quantum computing hardware and quantum algorithms that solve life
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processing of ecological data, including geospatial, remote sensing, genetic and other data Retrieval, integration, management, and archiving research data in line with FAIR principles Designing and
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for one fixed operating point and cannot adapt when grid conditions change. In this project you change how carbon-aware AI is designed. Instead of producing a single “best” model, you will use neural