Sort by
Refine Your Search
-
Listed
-
Employer
- Delft University of Technology (TU Delft)
- Leiden University
- University of Amsterdam (UvA)
- Royal Netherlands Academy of Arts and Sciences (KNAW)
- AMOLF
- Vrije Universiteit Amsterdam (VU)
- Wageningen University & Research
- Eindhoven University of Technology (TU/e)
- Erasmus University Rotterdam
- Radboud University
- Radboud University Medical Center (Radboudumc)
- Tilburg University
- University of Twente (UT)
- Utrecht University
- 4 more »
- « less
-
Field
-
hardware, acquisition strategies and image analysis to bring the cerebellar mesoscale organisation into view. With multimodal submillimetre MRI data including structural, microstructural, vascular, and
-
are among the most brilliant chemists on Earth, capable of transforming simple building blocks into an extraordinary array of structurally complex natural products (NPs) with a range of biological activities
-
numerical methods for the inverse design of nanophotonic structures enabling broadband, multiparameter sensing in fiber-based systems. The project is a collaboration between AMOLF, TU Eindhoven, and
-
interpretation, and ensuring that methodological advances translate into facilitating biological discovery. Your home base will be the Jakobi Lab (https://cryoem.tudelft.nl ) at TU Delft | Kavli Institute
-
builds on our recent works (https://www.nature.com/articles/s41467-025-65282-1 and https://www.nature.com/articles/nature20605 ). Join our team in the https://pomplunlab.com and https
-
Circuits Project description: Neuronal synapses are remarkably heterogeneous and dynamic structures that vary widely in molecular composition, nanostructure, and signaling strength. This rich variety
-
relationships on specific indicators for these quantities, you will obtain a set of equations that describe ecosystem structure and functioning as a function of size and other relevant properties. You will test
-
. The result is a new class of living composite materials that are not only structurally resilient but also inherently sustainable, moving us toward a future where infrastructure is grown, not just built
-
require new metrics, fast algorithms, and careful tailoring of commonly used network measures and algorithms. The aim is to advance our understanding of how social network structures change over time due
-
& Design, Engineering Structures, Geoscience and Engineering, Geoscience and Remote Sensing, Transport & Planning, Hydraulic Engineering and Water Management. Click here to go to the website of the Faculty