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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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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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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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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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research approach, which goes beyond traditional academic approaches. Additionally, we use SSM, a methodology inspired by system thinking and designed to address complex problems, particularly in scenarios
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how networks support cognition is one of the most exciting challenges in clinical neuroscience. For complex conditions such as multiple sclerosis and autism spectrum disorder, progress has been slowed
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well as collaboratively within a team. Excellent proficiency in Dutch as the research will take place in the Dutch context; mastering of the English language is also a must. Ability to express complex issues in a clear
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relevant for wafer handling. Silicon is a very complex material, undergoing multiple phase transformation, with some phases showing extensive plastic deformation, during mechanical loading and contact