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will design and validate advanced multi-agent Deep Reinforcement Learning (DRL) and/or Digital Twin (DT)-enabled methods for efficient, scalable and time-critical handover optimisation. The work will
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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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continuous-fibre-reinforced polymers (composites) under monotonic and cyclic loading, in particular using acoustic emission and thermography. Derivation of service life models for composites. Involvement in
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at finale.seas.harvard.edu and our group’s webpage https://dtak.github.io/ We work on probabilistic models, reinforcement learning, and interpretability + human factors. Basic Qualifications Candidates are required to have
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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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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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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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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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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