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Field
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that seeks to foster the development of skilled manpower and natural resources in Morocco and Africa. UM6P has robust teaching and research programs with a base of cutting-edge research facilities and
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-based optimization and multi-agent-based decision-making for dynamic production planning, scheduling, resource allocation and disturbance management in complex industrial environments. The main tasks
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AGENT RESEARCH CENTER The Industrial Intelligent Agent Research Center at Xi'an Jiaotong-Liverpool University, aligned with national smart manufacturing strategies, is committed to building a world
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starts based on mutual agreement, and the duration is 2 years (24 months). Job description This position is integrated into the high-impact research project, FINe-Health Foundry: Nationwide Foundation
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-time Doctoral Researcher position. This role focuses on developing a nationwide, versatile foundation health model using Finland's national health databases. The fixed-term position starts based
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learning, foundation models, including large language models, agentic AI, multi-agent AI systems, transfer learning, self-supervised learning, and federated learning. The Postdoctoral Researcher will be
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knowledge of developing AI-based information systems, such as AI-enabled engagement e.g., agentic AI and AI-enabled insight generation e.g., machine learning analytics in both individual and organizational
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the implementation of a cognitive agent embodied in a humanoid robot Unitree G1 which will collaborate with a human partner to solve a spatial problem (e.g. 3D puzzle). The tasks to be carried out are: (i) scene
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Demonstrated expertise in socioeconomic dynamics of smallholder livestock systems. Familiarity with systems thinking, system dynamics, agent-based modeling, or other approaches for analyzing complex social
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-emotional learning (SEL) skills and restorative practices; developing critical and creative thinking skills through integrative STEAM curriculum and inquiry based and experiential learning opportunities; and