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Doctoral (PhD) Student Positions in Control and Optimization for 3D Printing The Automatic Control Laboratory (IfA) in the Department of Information Technology and Electrical Engineering of ETH Zurich is a
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), Cooperative and Competitive Multi-Agent Reinforcement Learning (MARL), Multi-armed Bandits, Bayesian Optimization. Automated Model Design and Tuning: Neural Architecture Search, Hyperparameter Optimization
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optimal locations for densification based on spatial, architectural, and socio-economic assessment Implementation and Environmental Assessment: Applying densification strategies to selected VTAs, analyzing
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for efficient manipulation and optimize biodegradability while maintaining robust robotic performance. Profile MSc background in Chemistry, Physics, Materials Science, Nanoscience & Nanotechnology, or related
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years, including doctoral coursework. We offer an optimal working environment, opportunities for personal and professional development, and strong mentoring throughout the PhD project. We provide