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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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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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. 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
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bioproduction processes rely heavily on sugar-rich feedstocks derived from crops that compete with food production. Developing sustainable alternatives is therefore a major scientific and societal challenge
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. If you want more information about the procedure, you can send an email to jobs@liacs.leidenuniv.nl. Applicants should submit their motivation letter and CV. Only applications received no later than 25
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consider wellbeing throughout society. This can provide important insight into beyond GDP indicators for a post-growth economy, which are necessary for achieving socially just climate policy. In addition
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professionally and personally. For more information about the working conditions, please visit: https://www.universiteitleiden.nl/en/working-at/job-application-procedure-and-employment-conditions What we find
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(a.d.m.van.de.haar@hum.leidenuniv.nl ). Questions about the procedure can be directed to Nina Schat (im-lucas@hum.leidenuniv.nl ). Information about LUCAS can be found at Where to apply Website https
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