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developing new approaches for energy-efficient carbon capture. The project combines molecular synthesis, physical chemistry, spectroscopy, and reaction/process engineering to establish the mechanistic
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Intelligent Systems at ETH Zurich is inviting applications for several doctoral positions. Our lab's goal is to build, model, and control robots in a fundamentally different way, so that they become more
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systems to become connected, autonomous, and data driven. Working at the intersection of manufacturing engineering, artificial intelligence, and software platforms, you will develop technologies that
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research spanning process engineering, power engineering and sustainable energy systems and help develop future large-scale Power-to-X solutions. Your work tasks In this PhD fellowship at AAU Energy
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Job Description If you are looking to advance both theory and practice of advanced systems engineering with the help of AI, then come and join our growing group. Join us in building a new research
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biology, biochemical engineering, metabolic engineering, and artificial intelligence. The position aims to strengthen KT's research in the engineering of biological systems and the development of new
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, but may also be linked to related projects within data-driven product realisation, digital engineering, systems engineering, geometry assurance, automation, or model-based development. For Model
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technologies Polymer science & engineering, process systems engineering & modelling, chemical reaction engineering, fluid dynamics & microfluidics AI, machine learning & automation technologies for
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in the areas of Communications, Antennas and Optical Networks, Systems and Control, Signal processing and Biomedical engineering, and Electric Power Engineering. We work with sustainable and smart
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Professor (all ranks) – Physical AI in Robotics & Manufacturing Arizona State University: Office of the University Provost: Ira A. Fulton Schools of Engineering: School of Manufacturing Systems and