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Field
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involving small groups of socially interactive virtual characters and agents (also known as SIAs). These embodied agents typically have a 3D representation and are able to interact with humans by expressing
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researcher, with strong analytical and computational skills, with knowledge of one or all of the following: Dynamic Transport Modelling Demand Estimation and Forecasting Agent-based Modelling and Simulation
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the physicochemical properties of alternative blowing agents and the final foam performance. They will also test the new formulations under conditions that simulate industrial processes (casting, spraying, high
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and tool-using agents for experiment design, simulation steering, data collection, and lab/compute orchestration; planning and memory; multi-agent collaboration. Scientific Reasoning: Program/path
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with simulation modeling (e.g., discrete-event, agent-based, systems dynamics). Special Instructions to the Applicants: The Ph.D. must be conferred before the commencement of employment in
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main execution backend for the RL agent, while also investigating the potential of RTL simulation and physical RISC-V board as complementary execution nvironments. A key aspect of this work will involve
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Forecasting Agent-based Modelling and Simulation Data-driven Modelling Transportation Planning and Network Design Your profile Hold a PhD in applied mathematics or engineering Strong analytical and numerical
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IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava | Czech | 9 days ago
is currently working on multiple topics in AI including image and time series analysis, LLMs, agentic modelling, RAGs, MCPs, AI quality assurance, MLOps. Complementary to research activities we
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IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava | Czech | 12 days ago
are extending our team with a new position to drive research in the field of AI/ML. Our lab is currently working on multiple topics in AI including image and time series analysis, LLMs, agentic modelling, RAGs
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., evolutionary strategies, mixed-integer approaches, simulated annealing, ant-colony variants) for mixed discrete-continuous search spaces. AI workflow optimisation: fine-tune and evaluate agentic/LLM-driven