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Description The Department of Electronic Systems at The Technical Faculty of IT and Design invites applications for a PhD stipend in the field of wireless-native Physical AI Systems within the general study
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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 wireless-native Physical AI Systems within the general study
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Design invites applications for a PhD stipend in the field of secure machine learning within the general study programme Electronic and Electrical Engineering; as per November 1, 2026, or as soon as
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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 secure machine learning within the general study programme
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close collaboration with experimental researchers working on battery electrodes, thermoelectric materials and ferroelectric relaxors. Main tasks Generate and curate ab initio reference datasets
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architecture search to generate a family of related models. An AI service can then trade accuracy for lower energy and carbon at runtime, picking the right model for the current grid status. You will be
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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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, datafication and AI are reshaping cultural production, distribution, circulation and creative labour, including critical perspectives on technological infrastructures, governance and power relations. User
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conditions. SWEET transporters mediate sucrose efflux and play a central role in phloem loading and unloading, thereby controlling the distribution of sugars between vegetative and reproductive tissues
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of quantum information – e.g. the no-cloning principle – to provide improved privacy in distributed computation settings. As part of the position, you will be expected to collaborate with other researchers