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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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on performance during Fischer-Tropsch synthesis under intermittent conditions using operando scanning probe microscopy, developed in our group. Other characterization methods such as low-energy electron
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thesis or other written work; The ability to work independently, and as part of a team. What we offer A fulltime, for 38 hours per week position. The initial appointment will be for one year, with
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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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parameters based on paired visible-light and X-ray images. The developed techniques will be validated on real data. As a candidate, you must have a strong background in machine learning and computer vision, as
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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