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will use computational models to explore the minimal functional requirements for self-replication to emerge from polymerising molecules. Instead of simulating specific chemistries in full detail, we will
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PhD position - Modelling the emergence of information transfer in prebiotic self-replicating systems
, you will use computational models to explore the minimal functional requirements for self-replication to emerge from polymerising molecules. Instead of simulating specific chemistries in full detail, we
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PhD in Data-Driven Modeling of Homogeneous Catalysts (1.0 FTE) (V25.0035) « Back to the overview Job description Among the most challenging to develop catalytic reactions are stereoselective
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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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PhD position Modeling modals: A computational study of modal verb acquisition (V25.0196) « Back to the overview Job description The Center for Language and Cognition Groningen is seeking a motivated
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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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multiscale analysis of the mass distribution, as well as that of the flow field structure, and of the force and tidal field that has been shaping the cosmic web. The basic detection algorithms to infer
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the corresponding velocity flows inferred from measured galaxy peculiar velocities. These measurements are to be converted into a multiscale analysis of the mass distribution, as well as that of the flow field
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population projections and management of wild bird populations in times of climate change”, with the Seychelles warbler (Acrocephalus sechellensis) as a model system. The project is supervised by Prof. Hannah
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As urban populations grow and energy demands rise, urban-scale energy system modelling is critical for reducing emissions, enhancing resilience, and integrating high shares of renewable energy