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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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biochemical reactions within condensate droplets at high resolution. This research will provide insights into condensate mechanochemistry as well as disease-relevant processes in condensed phases, including
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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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for benefits such as an advantageous sports subscription and bicycle scheme; For more information about employment conditions, see https://www.universiteitleiden.nl/en/working-at/job-application-procedure-and
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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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. To help us get to know each other better, we follow a number of steps in the application procedure. For more information, see https://www.universiteitleiden.nl/en/working-at/job-application-procedure-and
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, scientists with expertise in metabolic engineering, enzyme engineering, computational modelling, and process optimization will work together. By combining microbial strains with synthetic metabolism with
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. The position offers a unique opportunity to conduct research on how evolving technologies, the rise of new threat actors, and shifting modes of operation are reshaping threats related to radicalization
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processes affecting security and preparedness in the European Union and further development of the Common Security and Defense policy (CSDP). What you will do The successful candidate will conduct research
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://www.universiteitleiden.nl/en/working-at/job-application-procedure-and-employment-conditions What we find important Promoting an inclusive community is central to Leiden University’s values and vision. Leiden University aims