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coordination failures reshape decarbonization pathways. Your research will combine methods from network analysis and agent-based modelling of economic systems to trace how international material and financial
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latency constraints. - Federated and distributed learning for RAN hardware infrastructure management. o Knowledge of autonomous AI systems based on agents. Indicative skills/experience: - Multi-Agent
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sciences, economics and regulation. Job description The project of the PhD student based at CWI in Amsterdam will focus on techno-economic models (and in particular multi-agent modeling) of energy exchange
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new findings about the labor market. 2. Advanced computational work involving coding heterogeneous agent models and conducting estimation of key model parameters to match themoments in the data and test
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of computing and healthcare. Methodologies of interest include: Multi-modal learning Foundation models, including large language models Agentic AI Multi-agent AI systems Transfer learning Self-supervised
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, AI system engineering, software product development, technology management, digital transformation, business applications of (generative or agentic) AI, software analytics, or AI for software
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of the energy sector, aligned with the principles of Industry 4.0 and the RAMI4.0 reference model, through a collaborative and interoperable solution based on Multi-agent Systems and Asset Administration Shells
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modeling software. Proficiency in chromatographic and FTIR analytical techniques. Skilled in analytical methods for catalytic/separation agents materials characterization. Solid understanding of chemical
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Offer Description Scientific Officer - Statistician EFSA/X/AD/2025/05 EFSA - European Food Safety Authority Stockholm, Sweden The European Food Safety Authority (EFSA), based in Parma, Italy is looking
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Offer Description Scientific Officer - Statistician EFSA/X/AD/2025/05 EFSA - European Food Safety Authority Berlin, Germany The European Food Safety Authority (EFSA), based in Parma, Italy is looking