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solutions. We seek a motivated PhD candidate to enhance open-source energy system models and develop local energy roadmaps. Key research tasks will include: Advancing modeling tools for improved
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, investment, wage-setting, and the transmission of policy. While traditional models provide a strong foundation, growing evidence suggests that real-world expectation formation is shaped by informational
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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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only advance fundamental science but also engage the public in the journey of discovery. In this specific project “Experimental Exploration of Protocell Formation on Early Earth” we will specifically
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have long-term consequences for the enslaved people and their freed descendants? The project will apply advanced empirical methods (e.g. structural estimation) in finance and economics to study these
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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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advanced data-processing techniques (e.g., data-driven modeling with embedded nonlinear dynamics) for vibrational feature extraction; 3)conduct quality diagnostics on the printed parts. The PhD project is
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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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://doi.org/10.15252/msb.202110822 ). The challenge is thus to understand how cellular metabolism organizes the structure of the cytoplasm presents, which is an exciting scientific opportunity. This project