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identification of biological sounds using passive acoustic data. Passive acoustic monitoring will be conducted with species identification based on a neural network trained and tuned to the turbulent waters
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. Important themes are logistical organisation of regional care and prediction of treatment outcomes for individual patients. Research activities involve collecting (prognostic and care logistics) data
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have the opportunity to design and conduct lab or survey experiments that reveal how people process economic information and form beliefs about future macroeconomics indicators. You'll have access
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explore how brand narratives evoke emotions, build relationships, and influence consumer decision-making. By leveraging insights from behavioral science (psychology), data analytics, and AI-driven
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applicants from underrepresented groups in particular to apply. For more information, see also our diversity policy webpage: https://www.rug.nl/about-ug/policy-and-strategy/diversity-and-inclusion/ Our
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. After initial experimental results, further research is guided by trial and error with the goal of deriving intuitive trends. Data-driven approaches are attractive alternatives. Descriptors are used
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dynamics simulations. The project will entail programming (scripting, Python etc.), handling big data and carrying out all-atom and coarse-grained molecular dynamics simulations on high-performance super
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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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charitable cause, but can also involve the interplay between multiple charitable causes. In this project, you will collaborate with Data Inside, a member of the UG’s Customer Insights Center which has data
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disclosure on this topic. For instance, as of 2024, the European Corporate Social Responsibility Directive (CSRD) mandates disclosure and assurance of non-financial information for large firms. This project