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in-situ monitoring data, ex-situ characterization data and failure data from aggressive loading of AM samples. The activities will span across exploratory data analysis, mathematical model building
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the application procedure. For more information, see https://www.universiteitleiden.nl/en/working-at/job-application-procedure-and-employment-conditions What we offer Our goal is to work together to create a
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be embedded at the Institute of Environmental Sciences (CML) at Leiden University and will be part of a broader interdisciplinary PhD and postdoc cohort working across Industrial Ecology, Urban Ecology
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Mathematics (Inverse Problems), Computer Science (Machine Learning, Computer Vision, Efficient Algorithms and High-Performance Computing), and Physics (Image Formation Modelling). Your project is part of
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Mathematics (Inverse Problems), Computer Science (Machine learning, Efficient Algorithms and High-Performance Computing), and Physics (Image Formation Modelling). Your project is part of the NXTGen High-tech
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this way, we contribute every day to a safer and more sustainable world. Impact with law! For more information, please visit https://www.universiteitleiden.nl/en/law . What you bring We are looking
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. For more information about employment conditions, see https://www.universiteitleiden.nl/en/working-at/job-application-procedure-and-employment-conditions What we value Promoting an inclusive community