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Independent Junior Research Group Leader (m/f/d, E14 TV-L, 100%) on Machine Learning Methods for Des
collaboration with IntCDC partners at the University of Stuttgart, the Max Planck Institute for Intelligent Systems and Bauhaus Earth is expected. The research group will benefit from IntCDC’s
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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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technologies Polymer science & engineering, process systems engineering & modelling, chemical reaction engineering, fluid dynamics & microfluidics AI, machine learning & automation technologies for
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: Asset & Maintenance engineering, Intelligent Manufacturing Systems, Personalised Health Technology, Resilience Engineering, and Sustainable Production, Energy and Resources. We work on education and
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, Intelligent Manufacturing Systems, Personalised Health Technology, Resilience Engineering, and Sustainable Production, Energy and Resources. We work on education and research in mechanical engineering, civil
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, information and knowledge, and forming intelligent systems-of-systems. More about WASP (wasp-sweden.org). The primary duties of the doctoral student positions are to perform research and teaching within the