Sort by
Refine Your Search
-
Category
-
Employer
- Delft University of Technology (TU Delft)
- Eindhoven University of Technology (TU/e)
- Erasmus University Rotterdam (EUR)
- University of Groningen
- Delft University of Technology (TU Delft); Published yesterday
- Erasmus University Rotterdam
- Leiden University
- Maastricht University (UM)
- University of Amsterdam (UvA)
- Utrecht University
- Wageningen University & Research
- Amsterdam UMC
- Amsterdam UMC; yesterday published
- CWI
- Delft University of Technology (TU Delft); Published today
- Delft University of Technology (TU Delft); today published
- Delft University of Technology (TU Delft); yesterday published
- Eindhoven University of Technology
- Eindhoven University of Technology (TU/e); Published yesterday
- Leiden University; yesterday published
- Tilburg University
- University Medical Center Utrecht (UMC Utrecht)
- Vrije Universiteit Amsterdam (VU)
- 13 more »
- « less
-
Field
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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