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(extracting data and statistical analyses) and has written at least one scientific publication. We also ask for excellent communication and writing skills in English. Other helpful competences include advanced
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statistics and computer languages, like R; the ability to work independently as well as in a team. We offer A contract (36 hours per week) for a period of one year, to be extended with three more years after a
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through presentations at scientific conferences and by writing scientific articles and a PhD thesis; attending PhD courses as part of the graduation program. You will work here The research is embedded
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Institute for Mathematics, Computer Science and Artificial Intelligence with the topic of responsible human-AI collaboration. The successful candidate will become a member of the Multi-Agent Systems Group
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properties of catalysts together with statistical methods to derive predictive models for selective catalysis. In a data-driven approach, an initial set of reactions is analyzed and used to establish such a
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trends. Data-driven approaches are attractive alternatives. Descriptors are used to characterize the molecular properties of catalysts together with statistical methods to derive predictive models
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Apply now The Mathematical Institute (MI) of Leiden University and the Leiden Institute of Advanced Computer Science (LIACS) are looking for a PhD Candidate in Random Graphs and Complex Networks
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to characterize the molecular properties of catalysts together with statistical methods to derive predictive models for selective catalysis. In a data-driven approach, an initial set of reactions is analyzed and
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. Data-driven approaches are attractive alternatives. Descriptors are used to characterize the molecular properties of catalysts together with statistical methods to derive predictive models for selective
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, bioanalytical chemistry, chromatography, and mass spectrometry; experience in data analysis, statistics, and visualisation; hands-on experience in LC-MS-based techniques and related data analysis; strong