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Universiteit Amsterdam welcomes applications for a two-year Postdoctoral position in Reinforcement Learning for Stochastic Optimization. The candidate is expected to conduct high-quality research
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website about knowledge security. Please do not contact us for unsolicited services. Where to apply Website https://www.academictransfer.com/en/jobs/360250/postdoc-reinforcement-learning-… Requirements
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childhood adversity (Buimer et al., 2025, preprint https://europepmc.org/article/ppr/ppr1071622 ). The project examines how adversity affects social learning and self-esteem, and how these processes
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modelling approaches (e.g. reinforcement learning models, hierarchical modelling) and contribute to high-impact publications. You can present your work at national and international conferences and
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methods so that design decisions can be understood, validated, and trusted. As a postdoc, you will: Develop generative AI models (e.g., variational autoencoders, diffusion models, or reinforcement learning
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Description Job description The dot on the horizon is a hybrid intelligent system in which AI tools support and learn from people interacting to make sense of something. What that something is can be anything
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reconstruction, in particular differentiable rendering or Gaussian Splatting methods; experience with robot learning, imitation learning, or reinforcement learning for manipulation, demonstrably applied in
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from the areas of few-shot learning, continual learning and modular deep learning, as well as different LLM alignment frameworks, based on reinforcement learning and direct preference optimisation