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We are looking for a talented and enthusiastic candidate for a fully funded 4-year PhD position. The PhD candidate for this project will be working at the RNA Structural Ensemble Dynamics group led
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temporarily, as needed, when needed. The goal of this project is to advance the understanding of how working memory is implemented in the human brain. To this end, the main objective is to develop a neural
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inheritance. Using an open-ended model, we will explore molecular structures of life as we know it (DNA), as well as other potential polymerisation rules. These models will also help interpret and guide
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PhD position - Modelling the emergence of information transfer in prebiotic self-replicating systems
and inheritance. Using an open-ended model, we will explore molecular structures of life as we know it (DNA), as well as other potential polymerisation rules. These models will also help interpret and
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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 used to establish such a
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computational models that learn by finding patterns in language data. Can they learn the different modal meanings simply by paying attention to what they “hear”? Or do they need to come prepared with certain
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Soils. • Knows, or is interested in, working with GIS/spatial data analysis, network analysis or modelling socio-economic structures. We offer an appointment in accordance with the Collective Labour
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structures each have distinct implications for sustainable landscape governance. Gender dynamics in land rights further influence sustainable landscape management. Women's exclusion from formal land ownership
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models combined with the finite element method. Constitutive relations are required to describe material behavior. Advanced stainless steel typically possess complex microstructures across various length
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management to save many endangered species from extinction. This project will conduct state-of-the-art multidimensional projection modelling to project the impact of climate change and age structure