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Genome-Scale Metabolic Models (GEMs) and multi-omics data for optimizing biomethane production in biogas plants. Specifically, the study aims to investigate anaerobic digestion processes in biogas plants
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27.03.2025, 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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ultra-reliable state estimation and control. With rising renewable energy integration, operators need certifiable performance guarantees to prevent blackouts while optimizing grid efficiency. Current
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relevant parameters for force modeling Simulate machining forces using an existing modelling framework Create an optimized CAM plan utilizing predicted forces What you bring to the table You are studying
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to shaping the future. Would you like to gain experience in a modern and professional team and see first-hand how research and development in the field of process optimization using probabilistic AI works
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products and processes. The Competence Center »Energy Management and Control« develops innovative solutions for the economically and technically optimal operation of highly complex energy systems. We develop
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various aspects of QC ranging from quantum chemistry to optimization and machine learning topics. We offer interested students to participate in this cutting-edge research via master thesis projects in
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analysis, simulation, chemometrics, control engineering, artificial intelligence, soft sensors, and process sensors. We are always looking for new technologies and new methods to monitor and optimize
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the Research Group “Nonlinear Optimization and Inverse Problems” (Head: Prof. Dr. D. Hömberg) starting as soon as possible. The project is part of a BMBF project concerning industrial scale data preparation
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« department, we deal with technologies, processes and methods for optimizing production processes as well as quality assurance in manufacturing. In the »AGILEHAND« research project funded by the European Union