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The Technical Faculty of It and Design, Department of Architecture, Design, and Media Technology invites applications for a PhD position in Architectural Research, with a focus on how people, places
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23 Apr 2026 Job Information Organisation/Company EPFL Department ENAC Research Field Engineering » Materials engineering Architecture » Design Researcher Profile First Stage Researcher (R1
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Location: Faculty of Science and Faculty of Engineering, University of Nottingham, UK Start Date: 1 October 2026 This PhD offers an exciting opportunity to explore reservoir computing, a new
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This PhD offers a unique opportunity to work at the intersection of formal methods, control engineering, and cybersecurity within the high-stakes environment of aerospace propulsion. You will be a
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. International applicants would need to be able to fund the difference between home and overseas fees with a proportion being paid in full before Visa documentation can be issued. Applicants PhD applicants must
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work — and how to design better ones. Why apply for this PhD? Work on the next-generation AI hardware beyond traditional computing architectures. Gain a unique combination of skills in mathematics
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SD-25045 – PHD IN HONG-OU-MANDEL INTERFERENCE AND ENTANGLEMENT WITH COLOUR CENTRES IN SILICON CAR...
. These finding define the strategy for developing a scalable quantum technology architecture. Our strategy is to use multiplexed and integrated colour centres for quantum communication tasks. Key here is to
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science or systems engineering. Knowledge of AI/ML algorithms, particularly graph neural networks and reinforcement learning, is highly advantageous. A keen interest in distributed computing, IoT architecture, and
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At the Faculty of Engineering and Science, AAU Energy, one or more positions as PhD stipend is available within the general study program. The stipend is open for appointment from September 1, 2026
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The Computer Vision Group is looking for an aspiring PhD to investigate multi-agentic AI, LLMs, and VLMs applied to agricultural sciences. Currently, established AI models often fail to generalize