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, multi-agent systems and data-driven optimization. Basic skills and knowledge of machine learning principles. A good understanding of practical engineering challenges with a view towards impact. Personal
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energy systems and energy markets. Strong interest in distributed optimization, multi-agent systems and data-driven optimization. Basic skills and knowledge of machine learning principles. A good
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from this PhD project into an agent-based model. This model will be developed by other PhDs in the project team and simulates household adaptation behaviour over time in global flood-prone regions
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3rd March 2026 Languages English English English The Department of Marine Technology has a vacancy for a PhD Candidate in Marine Cybernetics on Agentic AI for Smart Testing of Autonomous Maritime
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organization Knowledge of at least one empirical method (desirable) - Computable general equilibrium modeling and simulation or - Econometrics or - Agent-based modeling Excellent command of English High personal
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agents, and their effects on particle morphology and filtration performance, providing opportunities to address more complex mechanistic questions. The duties may also include (e.g.) Research within
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areas of nanoscience and nanotechnology. Job title: PhD Student in Computational Materials Science Research area or group: Theory and Simulation Group Description of Group/Project: The Theory and
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IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava | Czech | about 2 months ago
national and international projects like LUMI AI Factory and Czech AI Factory projects. Your role will involve developing innovative AI applications and agentic solutions, researching AI reliability and bias
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. You will explore how emerging AI technologies—foundation models, generative design tools, agent platforms, reasoning engines, and reinforcement learning—can be adapted and extended for maritime design
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AI technologies—foundation models, generative design tools, agent platforms, reasoning engines, and reinforcement learning—can be adapted and extended for maritime design challenges. The final research