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University invites applications for a PhD position in Statistics (survival analysis). This 4-year position is part of a research project on the development of new statistical methods for the dynamic prediction
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greenhouse and lab experiments to further estimate the role of microbiomes in climate resilience of the novel protein crops Perform a meta-analysis on microbiomes under protein-crops Participate in a larger
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strongly preferred Strong interest in wellbeing and beyond GDP Knowledge of statistical and spatial analysis methods and tools, or willingness to learn Proficiency in English, both spoken and written We
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are located at the heart of Leiden’s Bio Science Park, one of Europe’s biggest science parks, where university and business life come together. For more information, see http://www.science.leidenuniv.nl
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26 Sep 2025 Job Information Organisation/Company Leiden University Research Field Computer science » Computer hardware Computer science » Digital systems Researcher Profile First Stage Researcher
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bibliography. For guidelines on the proposal, see https://edu.nl/r67er A writing sample in English. Names, positions and email addresses of two referees (no reference letters). Where to apply Website https
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. The applicant is expected to have: A MSc or equivalent degree in combined Computer Science and Mathematics programs. Alternatively, Mathematics, Computer Science, Computer Engineering, Electrical Engineering
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, multimodal data, and explainability? This PhD project offers you the chance to develop novel AI methods that make powerful models more transparent, robust, and usable in critical domains such as healthcare and
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to develop novel AI methods that make powerful models more transparent, robust, and usable in critical domains such as healthcare and smart industry. You will be part of a large national ‘Perspectief
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of invariants of operator algebras, such as K-theory and cyclic homology; and Developing a mathematical method for passing from numerical Berry curvature to robust topological invariants in a large class of cases