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- Delft University of Technology (TU Delft); Published today
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symptom networks; and Preferred skills in programming, quantitative analysis, and handling complex datasets. Strict MSCA eligibility requirements: You must not hold a doctoral degree at the date
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the goal of building a multiscale foundation of knowledge that is directly relevant for understanding complex human diseases. This project is part of the TRANSCEND Doctoral Network (https://biomed.au.dk
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create sacrificial templates consisting of complex networks of fibers with circular cross sections and diameters from tens to hundreds of microns. These fiber templates can be embedded in hydrogel
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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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translational relevance. This PhD position is part of a Marie Skłodowska-Curie Doctoral Network (Horizon Europe). As a MSCA Doctoral Candidate, you will join a cohort of early-stage researchers across several
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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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complex human diseases. This project is part of the TRANSCEND Doctoral Network (https://biomed.au.dk/TRANSCEND-network/ ), funded by the European Union’s Horizon Europe programme under the Marie Skłodowska
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of the North Sea maritime infrastructure through AI-enabled, human-centered, and data-driven cyber-physical threat intelligence. This large interdisciplinary project builds on insights from network
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experiments, work in the laboratory, and analyse complex microbial data independently Knowledge on agricultural systems and experience in field work English proficiency We consider experience in microbiome
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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