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Field
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://cavecore.eu/ Your Research Project (DC4) You will work at the intersection of machine learning, control theory, and autonomous multi-agent systems to develop hybrid learning-based control strategies
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-agent systems. Methodology: Integrate ToM models with Reinforcement Learning based frameworks for single-agent and multi-agent decision-making. Develop simulation environments capturing realistic human
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education regulations, and the European campus of Northeastern University – a large, top-tier research intensive, Boston based institution. Founded in 1898, Northeastern received $230.7m of external research
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platforms such as Unity, Unreal, or Godot Up-to-date knowledge of recent advances in generative AI, including vision-language models (VLMs) and agent-based AI systems Ability to design and conduct experiments
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, this cohort of funded students will receive training in machine learning and AI methods at the University, together with training in the fundamentals of air traffic control at NATS, based at Whiteley
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REQUIREMENTS Research Assistant AI Agent (Hourly) Penn State Brandywine & Penn State Great Valley (Yang) Penn State Brandywine and Penn State Great Valley faculty, Xianfang (Sharon) Tan, Ph.D., Luna Yang, Ph.D
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goals, generate task plans, and work safely and effectively alongside human operators in industrial settings. Recent advances in large language models (LLMs) and agent-based AI systems offer unprecedented
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project “Responsible AI for the Swiss Judiciary” at ETH Zurich. The project develops and evaluates AI-based prototypes to support judicial decision-making, with a focus on real-world applicability. It
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on complex CO₂ transformations—with applied research aimed at developing more sustainable and circular fermentation processes. We will seek to adapt boron- and silane-based reducing agents, as
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staff position within a Research Infrastructure? No Offer Description Based in School of Computer and Information Technology (Mawson Lakes) Full-time (1.0 FTE), 2-year fixed term with a possibility for +1