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such as pre-ignition risks, material compatibility, and storage under high pressure. To address these challenges, we will develop novel techniques for provably safe reinforcement learning. This project is
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diffusion models for synthesis of 5G/6G coverage maps, channel characterization, medical imaging, and RF signal synthesis. Study new reinforcement learning and DQN designs for beam tracking and management in
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scientific achievements in the field of reinforced concrete structures; • Ability to model and calculate structural elements in nonlinear analysis software (preferred Atena); • Documented experience in
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oriented institution of higher learning, that is committed to an educational system based on the highest standards of teaching and research in fields related to the sustainable economic development
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investigate development of functional covalent adaptable networks. Recently we have developed different types of inherently flame retardant dynamic networks for fire safe fiber reinforced composites and self
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, computer science, or a related field. Expertise in causal inference and machine learning (in particular reinforcement learning), and strong experience with programming are desired.. Excellent communication and
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28 Nov 2025 Job Information Organisation/Company Delft University of Technology (TU Delft) Research Field Educational sciences » Education Educational sciences » Learning studies Engineering
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of interest include: Robot modelling, Nonlinear and Optimal control, Reinforcement learning, and Data-driven modeling and control. The Post-Doctoral associate will be based at NYU Abu Dhabi and will directly
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networks and deep learning Foundations of reinforcement learning and bandit algorithms Mathematical and algorithmic perspectives on large language models Statistical learning theory and complexity analysis
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of the control of biological movements with applications to neural and behavioural data, including abnormal movements observed in clinical populations. The successful candidate will reinforce and expand