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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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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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are continuously subject to "domain shifts" caused by fluctuating conditions, hardware degradation, or changing physical surroundings. Traditional AI models are often brittle under these distribution shifts, leading
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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
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technologies, or microelectronic integration. Experience with hardware design, experimental testing, characterization, and laboratory work related to power electronic system, material, or manufacturing process
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are not restricted to classical hardware, but may have (potentially limited) access to quantum resources such as entanglement. The goal is to use this entanglement in combination with other properties
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The Department of Electronic Systems at The Technical Faculty of IT and Design invites applications for a PhD stipend in the field of Anomaly Detection for Future Urban Cooling Systems within
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computing hardware and quantum algorithms that solve important chemical problems in the life-sciences and sustainability. NQCP invites applicants for PhD fellowships in the Algorithms & Applications (A&A
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for the quantum-classical control and readout 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