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. The ultimate goal is to develop theory and methods for the construction of low-complexity invariant sets, using computationally tractable algorithms. Funding Notes This is a self-funded research project. We
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their decisions and businesses in their strategies. Do you want to know more about LIST? Check our website: https://www.list.lu/ How will you contribute? We are looking for a recognised business development
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on network behavior; 5) knowledge of computer network modeling; 6) familiarity with issues related to autonomous vehicles of the AGV type; 7) knowledge of signal regulation algorithms, such as fractional order
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strategies (e.g., feature attribution, counterfactual explanations, dialogue-based explanations, hybrid symbolic–ML approaches); develop user-facing explanation interfaces that connect algorithmic reasoning
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the development of methods and models refinements, analyses, and optimizations for scale-grid TES integration and operation planning algorithm. RESTORATIVE consists of 17 PhD students at 7 universities and 4
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courses in Computer Science and Information Technology. Courses may include areas such as programming, data structures, algorithms, databases, cybersecurity, networking, web development, software
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 26 days ago
to advancing algorithms for human-centered robots: robots that are not working autonomously in isolation, but that instead react, interact, collaborate, and assist humans. To do so, these robots need
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algorithm of the PotionDB system (https://github.com/AndreRijo/potionDB ); • Evaluate the proposed improvements in a geo-distributed context, using appropriate benchmarks; • Document the proposed improvements
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of work is Department of Technology Systems at Kjeller, Lillestrøm. Job description The person hired in the position will work on theoretical algorithms for robust multiagent system coordination, and
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participation of citizens. You will focus on developing adaptive learning systems that enhance the transparency and contestability of AI decisions through personalized, multimodal explanations. Your job AI is