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applied AI/HCI or distributed systems and architectures, including one or more of the following: optimisation, machine learning/XAI, interactive visualisation, offline-first or mobile systems, secure data
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-performance computing; cybersecurity; embedded, networked and distributed systems; machine learning and artificial intelligence; connected and autonomous vehicles and sustainable transportation; and
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-performance computing; cybersecurity; embedded, networked and distributed systems; machine learning and artificial intelligence; connected and autonomous vehicles and sustainable transportation; and
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-performance computing; cybersecurity; embedded, networked and distributed systems; machine learning and artificial intelligence; connected and autonomous vehicles and sustainable transportation; and
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seeks to advance knowledge in the following domains: Formal verification and interactive theorem proving (Rocq, Lean) Secure and high-performance computer systems, including ML infrastructure We seek
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Infrastructure? No Offer 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
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data-driven decision-making systems Knowledge Machine learning and optimization techniques Key technologies in wireless communication systems Networked and distributed systems What we can offer you
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to PhD students with their dissertation projects as needed; Writing narrative summaries of the research results, and related tasks under the supervision of the faculty member assigned; Conducting
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PhD Student in Cyber-Physical Systems – additive manufacturing and packaging for chiplet-based electronics Lulea Reference number 4728-2026 Are you ready to take the next step in your academic
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Edge Intelligence Job description About the job: You will be a highly productive, ambitious and collaborative member of National Edge AI Hub (https://edgeaihub.co.uk/) research project/team assisting in