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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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control research. This project aims to address this gap by examining (1) the types of management controls used by MFIs, (2) how these controls interact across different MFI models, and (3) their role in
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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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-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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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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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
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approaches, you will establish accelerated Design-Build-Test-Learn cycles to continuously improve models via active learning and guide evolutionary trajectories toward promising but otherwise inaccessible