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The Department of Computer Science and Engineering at the University of California, Riverside invites applications for a full-time Postdoctoral Scholar position in the area of embodied agents across virtual and
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, multi-agent systems, and agent based modelling) and energy systems (energy modelling, renewable energy, energy management, and energy in agriculture). The position will be under the direction of Dr. Karl
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adaptation of existing approaches for scientific applications; (ii) Large Language Models (LLMs) and multi-modal foundation Models (iii) Agentic AI techniques for scientific domains; and (iv) techniques
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three years ago; - Relevant experience in conducting research in IoT, Multi-agent Systems, Asset Administration Shells, and RAMI4.0; - The candidate's training and experience must be appropriate
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of computing and healthcare. Methodologies of interest include: Multi-modal learning Foundation models, including large language models Agentic AI Multi-agent AI systems Transfer learning Self-supervised
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to engage in scientific activities both in Luxembourg and abroad, including seminars, summer schools, conferences, and more. The postdoctoral fellow will be working on developing multi-scale and multi-modal
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per year, if mutually desired. Research will focus on multi-level investigation of safety-critical human-in-the-loop systems that collaborate with automated/autonomous decision-aid technologies. Desired
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) Research Experience: Relevant research experience in related problem domains, or research experience in scheduling, routing, and multi-agent pathfinding (MAPF) algorithms - Experience across multiple areas
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fixed-term position at the School of Science and Technology. The postdoctoral researcher will be affiliated with the Machine Perception and Interaction Lab at Örebro University, which carries out multi
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. The preferred candidate will have a strong academic or industrial background in machine learning, trustworthy machine learning and AI, agentic AI, adversarial machine learning, graph-based learning, multi-domain