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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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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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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
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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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platform for metal AM parts; 2)develop and perform advanced data-processing techniques (e.g., data-driven modeling with embedded nonlinear dynamics) for vibrational feature extraction; 3)conduct quality
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the factors that explain the onset, development and conclusion of political violence. The student will work towards building thorough and encompassing theoretical models that present relevant empirical