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and reinforcement learning for real-time optimization, fault self-recovery, and production scheduling in industrial processes. Publish research results in top-tier international conferences and journals
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polymers via molecular designation Preparation of reinforced polymer composites Development of highly efficient eco-friendly fire-safe strategies for polymers In-depth understanding of the fire behaviors of
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. Preferred qualifications: Strong methodological training in statistical inference, computational statistics, reinforcement learning, or optimization. Experience with Bayesian statistics, adaptive clinical
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gravitational effects on entangled photons for shining light onto the interface of quantum physics and gravity? Can we exploit quantum photonics technology for novel quantum machine learning, quantum computing
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, or reinforcement learning. Experience with high-performance computing (HPC). Experience supervising students or junior researchers. What you will do As a postdoctoral researcher, you will: Develop machine-learning
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duties as required. The nature of the duties are such that they require knowledge of an advanced type in a field of science or learning, are predominantly intellectual and varied in character, and require
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Argonne’s core values of impact, safety, respect, integrity, and teamwork Preferred Qualifications Experience with active learning, Bayesian optimization, adaptive experimental design, reinforcement learning
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combine research activities with building your career path and reinforcing your academic skills. Therefore, you will have the possibility to enroll at the Wageningen School of Social Sciences (WASS) . You
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analytical skills. Knowledge about statistical machine learning, robotic perception, multimodal AI algorithms. Proven experience with reinforcement learning algorithms and implementations. Experience in
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across the broader TU Delft research community. Job requirements PhD in computer science, AI, machine learning, data science, network science, computational social science, or a related field. Expertise in