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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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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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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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fully funded, full-time, four-year PhD position within the Exposome-NL Gravitation programme external link . Your qualities You are a motivated and proactive colleague who: has a Master’s degree in
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, Direct Electrical Stimulation) and also computational methods for task-design and to detect mild language problems (word network metrics). This research is timely because people with brain tumors have
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neuroimaging methods before and during surgery (navigated Transcranial Magnetic Stimulation, Direct Electrical Stimulation) and also computational methods for task-design and to detect mild language problems
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, econometrics, medical statistics, or a related field. You should have demonstrable skills in quantitative research methods and a strong interest in applying these to real-world healthcare challenges. You should