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part-time, with 65% of the regular weekly working hours (currently 25.35 hours) and should be used for a doctorate. Participation in the accompanying doctoral programme is compulsory. This serves
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that are potentially present in the EoL scrap stream through single and multiple deliberate additions. To use advanced characterisation techniques to investigate features in the microstructure that are introduced by
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optimising performance across multiple timescales and spatial domains. Systematically resolving these challenges in renewable-dominated power networks stands as a critical cornerstone for enabling the roadmap
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3 Mar 2025 Job Information Organisation/Company IMDEA Networks Institute Department Distributed Systems and Networks Group Research Field Computer science » Other Researcher Profile First Stage
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” highly flexible components and ensure their energy harvesting capabilities. This project will contribute to ambitious plans for SBSP as a vital part of the future Net Zero landscape. Recent advances in
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analysis systems, to ensure safe and trustworthy results. This can involve research questions from NLP and AI like model robustness and guardrails, human-computer interaction such as interpretability and
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build the sustainable companies and societies of the future. The Robotics and Artificial Intelligence (RAI) (www.ltu.se/robotics ) subject at the department of Computer Science and Electrical and Space
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candidates will work on Bayesian models for unsupervised learning when multiple data sources are available, mostly tailored to the case of molecular data in cancer genomics. The position is connected
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Immunology and Computational Biology Reference number: 2025-0104 We are deploying advanced in vitro and in vivo model systems, genetic perturbations and single cell technologies with spatial readouts to study
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. Consider a self-adaptive IoT network such as a smart home that autonomously manages energy consumption while balancing multiple, often conflicting requirements, such as comfort, cost efficiency, and