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Field
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simulations, design and conduct experiments, and analyze multimodal data streams in a continuous, real-time loop with minimal human intervention (https://www.nature.com/articles/s41524-024-01423-2 , https
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CORE A*/A conference paper. Ozone is a powerful oxidizing agent with applications in water treatment, air disinfection, food processing, and material coatings. It effectively eliminates pathogens and
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unsupervised learning Distributed / decentralised command and control: synchronisation, coordination, adaptation, for example using multi-agent systems Decision support under uncertainty Modelling and simulation
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robots and competency in the Robot Operating System, and/or Physics Engine Simulators are preferred. The terms of employment are very competitive and include housing and educational subsidies for children
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Research Team ("DESRT") performs cutting-edge research and development on discrete-event simulations and their wide applications, especially, simulations of social phenomena using agent-based models, and
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-agent simulation, and intelligent control. The successful candidate will engage in research aimed at developing agents--whether virtual humans in simulated environments or physical robots--that make
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/she will also take part to beam test campaigns (CERN, DESY, Mainz, FermiLab or BNL) and will be involved in simulation work (GEANT4) of exclusive processes, such as Deeply Virtual Compton Scattering
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research in several areas. Learning activities will focus on: The development and characterization of animal models and/or microphysiological systems for viral agents. Emphasis is placed on determining
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of ultrasound. Evidence is growing that ultrasound, in combination with injectable bloodpool agents, has a therapeutic effect on tumours and tissue. However, the current ultrasound probes are not up
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 19 days ago
of an OpenAI Gymnasium–compatible environment layer (a “Gym-Agro” or ”Gym-PBM abstraction). This layer will expose a standardized API (reset, step, observe, reward, done) to RL agents, manage simulation calls