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achieve automated data driven optimization (in terms of time and quality) of polishing process parameters by application of machine learning algorithms, leading to a robust, repeatable and fast polishing
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doctoral candidate who meets the following requirements: A background and strong interest in aluminum alloys, fatigue analysis, and numerical modelling is preferred. Experience with computer aided design
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of DTU Engineering Technology and the Department of Electric Energy at the Norwegian University of Science and Technology (NTNU). The project will investigate coordinated operation and control of local
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driven RUL estimation for sustainable machining operations”. Nowhere in the text, it is explained what the abbreviation RUL stands for. The position is funded in the context of the project MADE React co
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driven RUL estimation for sustainable machining operations”. Nowhere in the text, it is explained what the abbreviation RUL stands for. The position is funded in the context of the project MADE React co
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processing and hybrid BCI design Machine learning (ML) Bioinspired control systems Neuroplasticity and motor recovery Real-time control of soft exoskeletons Your Role As a PhD candidate, you will: Develop and
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control of upper-limb prosthetic devices. You will develop machine learning methods that combine neural signals with environmental context to enable seamless object manipulation. The objective is to create