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, reliable and sustainable use of deep and shallow geothermal systems, it is essential to optimize them (borehole locations, sizing, operation, etc.). The resulting optimization problems are so-called PDE
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05.05.2025, Wissenschaftliches Personal The Chair of Renewable and Sustainable Energy Systems (ENS) at the Technical University of Munich (TUM) deals with the modeling and optimization of energy
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motivated colleagues who are passionate about machine learning, optimization, and game theory. - an attractive work environment both within the research group and beyond. For further information concerning
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address all aspects of sustainability (ecological, economic, and social) and have developed strong expertise in robust multi-objective optimization, quantification and integration of economic risks and
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qualifications - You are a highly motivated student that takes great interest in research, is curious and excited to learn and optimize new methods and experimental approaches. - Practical experience in molecular
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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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response to call HORIZON-MSCA-2023-DN-01. Objectives Exceeding stability limits during operation, either in nominal and extreme conditions, can induce catastrophic structural failures or reduce lifetime
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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
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network adaptation is crucial for optimal perfusion. In living systems, network architecture constantly changes in response to environmental stimuli towards uniform flow to optimize transport. Combining
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technology, and process optimization using mathematic modeling - Evaluate modified growth factors under real conditions with medium recycling - Independent work on research projects - Close cooperation with