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lead to high-quality, cost-effective systems with predictable properties (functionality, timing, reliability, power dissipation, and cost). Design trajectories for applications that have strict real-time
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optimizing priorities within an integrated management system, aimed at reducing quality-related losses and enhancing the technical availability and reliability of manufacturing technologies. Supervisor: doc
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on the development and implementation of this framework covering the following scales: i) dynamic vision- and geometry-based reconstruction, ii) structural quality and reliability, and iii) construction mobility
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22 Apr 2026 Job Information Organisation/Company Luleå tekniska universitet Research Field Engineering Researcher Profile First Stage Researcher (R1) Application Deadline 12 May 2026 - 12:00 (UTC
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Luleå University of Technology experiences rapid growth with world-leading expertise within several research areas. Our scientific and artistic research and education are conducted in close
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student will work closely with POST Telecom’s company (Luxembourg), who is co-funding this PhD position. Research Environment The PhD student will join the Secure and Reliable Software Engineering and
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and decision support (e.g., LLMs, retrieval-augmented generation, agentic systems) Building production-quality prototypes suitable for pilot deployment in judicial settings, including robust retrieval
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application! We are now looking for a PhD student in Computer Vision and Learning Systems at the Department of Electrical Engineering (ISY). Your work assignments Your task will be to analyse and adapt vision
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Epidemiology, advancing interdisciplinary methods to ensure reliable AI in healthcare through innovative statistical and health-economic approaches. You will develop value-of-information measures and software
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to conduct academic research of the highest quality. For more information, click here. Where to apply Website https://www.academictransfer.com/en/jobs/360323/phd-in-validation-frameworks-fo… Requirements