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mechanism to cope with a rapidly changing world”, with the Seychelles warbler (Acrocephalus sechellensis) as a model system. The project is coordinated by Prof. Jan Komdeur (see: https://research.rug.nl/en
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sechellensis) as a model system. The project is coordinated by Prof. Jan Komdeur (see: https://research.rug.nl/en/persons/jan-komdeur ), in collaboration with Prof. Martijn Egas (https://research.rug.nl/(...)ons
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companies. Since the estimation of spatial and network models is intricated from an econometric point view, this position provides you with the ideal opportunity to both develop strong theoretical and
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examining (1) the types of management controls used by MFIs, (2) how these controls interact across different MFI models, and (3) their role in ensuring social impact while maintaining competitiveness and
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of responsible human-AI collaboration. The successful candidate will become a member of the Multi-Agent Systems Group, Artificial Intelligence Department and will work under the supervision of Dr. Jakob Schoeffer
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have access to a unique cross-sectional dataset of ESG ratings of Chinese stock market listed companies. Since the estimation of spatial and network models is intricated from an econometric point view
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-Prime) and explore advanced analytical techniques such as text mining, image mining, and large language models. You possess strong written and spoken English proficiency to communicate research ideas
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to develop expertise in conducting experimental studies (e.g., Qualtrics, PsychoPy, E-Prime) and explore advanced analytical techniques such as text mining, image mining, and large language models. You possess
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work towards building thorough and encompassing theoretical models that present relevant empirical implications. This PhD project offers a unique opportunity to work in an international environment in
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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