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Field
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This four year fully funded PhD project investigates how complex temporalities of migration in urban contexts interact with migration and inclusion policies. As cities like Rotterdam and Bilbao exhibit varied
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complexity seen in patients. This Marie Skłodowska-Curie Actions (MSCA) doctoral network PhD project takes a fundamentally new approach: embedding animal models in a translational framework that connects
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and recent evolutionary genetic discoveries, utilizing large-scale bioinformatic databases and resources. Background: The human brain is a highly complex network of interconnected regions—the connectome
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Are you passionate about working in an interdisciplinary and international team to explore the interface between computational models, complexity science, network science, and public health
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- 1 fte Introduction This PhD position aims to investigate how complex temporalities of migration and mobility in urban contexts interact with policies aimed at migration and migration-related
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interdisciplinary fields. We introduce our students to the diversity and complexity of human experience in the past and in present societies around the globe through the study of civilisations, regions, nations
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databases and resources. Background: The human brain is a highly complex network of interconnected regions—the connectome. Over the past decade, advances in network neuroscience and connectomics have allowed
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empirical sociology and complexity approaches Learn to integrate survey data, network analysis, and agent-based modeling Develop strong skills in data analysis, modeling, and social experiments Collaborate
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in field campaigns in Kenya, as well as dissemination and teaching activities. This PhD position is fully funded for 4 years. About the Wildbotics project: Wildbotics is a Marie-Curie Doctoral Network
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at the intersection of multiple transitions. Focusing on actors’ collective strategizing, you will investigate how such tools can support dealing with the complexity of multiple transitions. You will adopt a