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Field
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) department at Telecom Paris. Reinforcement learning (RL) has emerged as a useful paradigm for training agents to perform complex tasks. Model-based RL (MBRL), in particular, promises greater sample efficiency
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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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About the Opportunity The successful candidate will contribute to an ambitious project developing perceptual AI agents that assist humans in daily activities through behavioral understanding and
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The focus of the project is artificial intelligence (AI) and its relation to robotics and embodiment. Embodiment plays a significant role in learning in AI by enabling cognitive agents to acquire actively
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-Service (MaaS). The Postdoctoral Researcher will focus on developing adaptive digital twin frameworks and AI-based smart planners to support dynamic production environments within a Manufacturing-as-a
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virulence and host resistance, as well as characterizing microbial biocontrol agents. The successful candidate will employ resistance screening of hosts, transcriptomic and genomic profiling to compare
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the recovery of monomers or high value-added chemicals from plastic waste. The Photo-Unlink project aims to prepare photodegradable vinyl-based polymer networks such as polystyrenes and polymethacrylates through
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biomass into valuable bio-based products and understanding the biological properties of seaweeds, with an emphasis on their potential applications in biotechnology, agriculture, and other bioproducts
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microbubbles and gas vesicles with submicron size that are used as ultrasound contrast agents and can also act as drug carriers. The project will also address the interaction of functionalized vesicles, bubbes
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position within a Research Infrastructure? No Offer Description Location: Mohammed VI Polytechnic University (UM6P) Duration: [12–24 months, renewable based on performance] Start Date: 01-09-2025 Field