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embedded in the CCSS community. Nice to have Experience with viral genomics, phylogenetics, Bayesian or likelihood-based inference, infectious disease modeling, or high-performance computing. Additional
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topological magnetic periodic structures that consist for example of skyrmions, topological magnetic whirls in the magnetization. Along the edges of such structures, a topologically-protected fluctuation of
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and in writing; you work in a structured manner, take the initiative and are motivated to master new methods and topics. We consider it an advantage if you have: experience engaging and/or collaborating
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processes, structures and institutions are shaped. We welcome colleagues who can further strengthen the diversity of perspectives and backgrounds in our department. As PhD candidate you will be member of
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of spatial representations and embeddings, exploring how spatial abstractions and learned representations structure similarity, proximity, and relevance in decision-making processes. The PhD will be conducted
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of survey sampling Knowledge of structural equation modelling: this is for the PhD position in “small area estimation in presence of latent variables” Knowledge of data integration techniques (statistical
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academic writing skills. Desirable Knowledge of survey sampling Knowledge of structural equation modelling: this is for the PhD position in “small area estimation in presence of latent variables” Knowledge
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, analyse, and interpret qualitative data; Experience in conducting and analysing structured and semi-structured interviews, large and small workshops, focus groups, and participatory research activities
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candidate to conduct interdisciplinary research that links question answering, knowledge modelling, geo-spatial analysis, and workflow construction. This PhD position focuses on developing a semantic model of