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Field
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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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Would you like to improve your programming skills and apply your knowledge in the field of machine learning? For our ongoing research projects, we are seeking exceptional candidates to write their final (Master’s) thesis with a focus on machine learning / reinforcement learning. Our research at...
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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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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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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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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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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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Your Job: One essential step towards the ramp-up is the identification of site-specific optimal design of DACS plants, which will be the focus of the advertised PhD. To identify optimal DACS plant
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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