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for these problems. The mission of this consortium is to realize a new revenue model in the textile value chain, by scaling up and strengthening the (business/government/NGO) activities around sorting
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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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to finding a solution for these problems. The mission of this consortium is to realize a new revenue model in the textile value chain, by scaling up and strengthening the (business/government/NGO) activities
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PhD Position: Activating Heritage as a Mediator for Dialogue and Belonging in an Era of Polarization
materials as central components for engagement. These tools will be designed and tested through participatory and practice-based methods. Yet, depending on the candidate’s background and evolving project
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ensembles. The Incarnato group uses both prokaryotic and eukaryotic cellular models and exploits (or develops where needed) cutting-edge experimental methods (Marinus et al., 2021 [PMID: 33398343]; Incarnato
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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
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and organize the archaeological field campaigns in Portugal, in line with the project leaders’ goals. The position is based at the Groningen Institute of Archaeology and involves frequent travel
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. These models should be based on accurate predictions of phase stability and defect kinetics. This research project focuses on developing the atomistic models that can provide such predictions. The successful
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of these digital twins requires reliable and predictive models for microstructure formation during steel processing. These models should be based on accurate predictions of phase stability and defect kinetics
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described in the project overview. Owing to the current composition of the project team, there will be a mild preference for candidates opting for project 2 on “Models and machine learning”. An explanation