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operators for these notions. Over the past fifty years, such non-classical logics have proved vital in computer science and logic-based artificial intelligence: after all, any intelligent agent must be able
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to agent-based and computable general equilibrium modeling, led by five team members. The first three pillars concern the development of computational agent-based models to explore three different channels
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-Service (MaaS) ecosystem. The work will integrate deep reinforcement learning, autonomous agent modelling, and multi-objective optimization to enable predictive simulation, real-time resource management
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costs. The project focuses on Europe, with a detailed analysis of three selected case-study regions. Methodologically, SPHINX embraces five pillars, ranging from data collection to agent-based and
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if you have experience with safety-critical systems, multi-agent autonomy, or learning-based/data-driven/robust/adaptive control under uncertainty, supported by strong mathematical foundations. Hands
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experience, supervision abilities and Spanish speaking capabilities welcomed. • Additional services may be supported based on specific provider expertise. • This position must have exceptional leadership
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the Patient Registration Patient Intake, and Patient Relations offices, Simulation Clinic and Labs, Central Sterilization, and two dispensaries. OCS supports the operations of 13 dental clinics in delivering
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to any changes in the network, be robust in the face of uncertainty, and remain flexible. In recent years, new strategies for the optimal management of distributed systems, based on analysis, simulation
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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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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