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/2026 Back to Search Postdoctoral Research Associate, Adaptive Learning Agents and Computational Cognitive Science Posting Number req27365 Department Psychology Department Website Link https
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Università degli studi di Roma Tor Vergata Dipartimento di Biomedicina e Prevenzione | Italy | 7 days ago
BRAINFEDERATION, the appointee will support the development and evaluation of reinforcement learning algorithms and bioinspired computing architectures for adaptive neuromodulation, under the scientific
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of Artificial Intelligence, Director of Bath's Reinforcement Learning Laboratory, Director of Bath’s Centre for Artificial Intelligence) and by George Leete (Senior AI Engineer at Synoptix Limited). Synoptix Ltd
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Tree Search based reinforcement learning algorithms and evaluate it in popular, publicly-available benchmarking suite, and compare it with other non-Monte Carlo Tree Search based baselines
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are currently accepting applications for the Lineworker Program to teach ETEC111M and 121M. Courses will be taught on-campus. ETEC111M: This course provides an introduction to basic electrical concepts, practices
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on continual reinforcement learning for real-world systems. The grant provides a stable, well-resourced four-year research environment to tackle a problem that classical RL theory is not built for: real systems
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, Machine Learning (deep learning, reinforcement learning, multimodal learning), Generative AI, and Computer Graphics are especially encouraged to apply. The School has five divisions: Biological and Life
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diffusion and flow-based models. Knowledgeable in reinforcement learning. Knowledgeable in large language models, vision language models, vision-language-action models, and related concepts. Capable of coming
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with conducting research at the intersection of reinforcement learning and statistics. The primary responsibility of the candidate will be to advance statistical methodology useful for the design and
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, in a fully funded postdoctoral research role to lead transformative research in formal methods for safe reinforcement learning. Overview. The FMAI lab at Imperial is seeking highly motivated