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Sciences and Systems in the lab of Professor M. Bichler. We offer: - a team of young and highly motivated colleagues who are passionate about machine learning, optimization, and game theory. - strong support
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Excellent knowledge of aeronautical or spaceflight mechanics Excellent knowledge of control theory, including linear, nonlinear, and optimal control Excellent mathematical, analytical and problem-solving
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decision-making in operational settings, aiming to enhance performance and optimize decision processes. Collaboration opportunities with industry partners are available, providing a strong mix of academic
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and evaluation of innovative data- and machine learning-based systems to integrate more renewable energy into our energy systems and make energy use more efficient. We develop new optimization methods
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) - Semantic 3D Scene Understanding - Face / Body Tracking, 3D Avatars - Non-Linear Optimization - Media Forensics / Fake News Detection How to Apply: Follow the instructions on our application platform: https
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and evaluation of innovative data- and machine learning-based systems to integrate more renewable energy into our energy systems and make energy use more efficient. We develop new optimization methods
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benefits What you will learn: - Catalyst synthesis - Spectroscopic characterization - Electrochemical mass spectrometry - (Electrochemical) reactor design and optimization - Ion transport measurements
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on the design and evaluation of innovative data- and machine learning-based systems to integrate more renewable energy into our energy systems and make energy use more efficient. We develop new optimization
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in the chip design process Optimization and Reinforcement Learning methods for problems of design/layout Exploration of Heuristics and Data-driven Methods for the generation of design blocks Automated
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should enable the corresponding production processes and environments to be automatically initialized, processing areas to be generated and the optimal processing tools and their alignment to be assigned