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Research assistant in the field of Reinforcement Learning Theory. Department of Economics and Business. University Pompeu Fabra (Ref. ECON-PSR-INDF-2026-09) Tasks to be performed Contribute to the «SCALER
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of senior researchers, the individual will help apply machine learning methods, with a focus on reinforcement learning, to mathematical problem solving. The role emphasizes hands-on experimentation
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, and rigorously evaluate machine learning and deep learning models (CNNs, DNNs, transformers, graph neural networks, diffusion models, multimodal models, reinforcement learning) as well as software
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STUDENT INSTRUCTOR POSITION(S) AVAILABLE AVAILABLE JOB POSTING: FOR MASTER?S STUDENT COURSE: SIADS 644 - Reinforcement Learning Algorithms COURSE SCHEDULE: April 1, 2026 - April 28, 2026 Number of available
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with machine learning and optimization, such as supervised learning, reinforcement learning, or constrained optimization. Good written and oral communication skills for preparing technical reports
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support. Approaches such as supervised learning, anomaly detection, and reinforcement learning will be explored to support adaptive decision-making under uncertainty. Attention will be paid to explainable
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Description The Deep Learning laboratory in the Division of Science, New York University Abu Dhabi, seeks to recruit a research assistant to work on Deep Reinforcement Learning (DRL). The successful
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and measurement noise. • Developing predictive control strategies based on reinforcement learning or hybrid approaches compatible with real-time adaptive optics constraints. • Proposing and
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bachelor's, master's and doctoral degree programs offered, UT Tyler provides a wealth of learning opportunities and dynamic programs. For more information, please visit https://www.uttyler.edu/about
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Australia’s future change-makers and create a better tomorrow. Work that matters Contribute to cutting-edge research in AI-enabled satellite autonomy, developing reinforcement learning solutions for real-time