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PhD-students, post docs and permanent staff. Teaching in the mathematics-economics programme as well as teaching mathematics and statistics at the study programmes in Engineering and Social Sciences
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theory, or computational modelling, and an interest in sustainable manufacturing and advanced automation. The candidate will work in an interdisciplinary setting between material science, operational
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advanced modelling, data analysis, and algorithmic development. Your tasks will support our core research focus of mathematical and computational approaches to design and implement solution algorithms, with
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towards a more sustainable built environment. The announced position is part of this new research program: Civil Engineering and the Green Transition in the Built Environment (CEBE), and the successful
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characterization with scanning electron microscopy is a plus Experience with computational tools such as MATLAB, Python or relevant tools Ability to work independently and collaboratively in a multidisciplinary team