Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Eindhoven University of Technology (TU/e)
- Utrecht University
- Delft University of Technology (TU Delft)
- Radboud University
- Wageningen University & Research
- Erasmus University Rotterdam
- Maastricht University (UM)
- University of Amsterdam (UvA)
- University of Twente (UT)
- University of Twente
- Vrije Universiteit Amsterdam (VU)
- ;
- Amsterdam UMC
- Erasmus University Rotterdam (EUR)
- Leiden University
- Radboud University Medical Center (Radboudumc)
- DIFFER
- NIOZ Royal Netherlands Institute for Sea Research
- NLR
- Tilburg University
- University Medical Center Utrecht (UMC Utrecht)
- 11 more »
- « less
-
Field
-
also study professional learning in relation to the collaboration and innovation processes of professionals, particularly so in multidisciplinary settings and new forms of organizing (such as learning
-
that make education and research possible. Here, curiosity, collaboration, and creativity come together to create solutions that matter. PhD Position - Engineering the Future of Bone Regeneration: mRNA
-
. Your teaching load may be up to 10% of your working time. Would you like to learn more about what it’s like to pursue a PhD at Radboud University? Visit the page about working as a PhD candidate . At
-
, cyclic cohomology, C*-algebras, K-theory, index theory, and general geometry and analysis on manifolds. The PhD project will be supervised by Dr Peter Hochs. This project involves collaboration with Dr
-
, from tailored nanomaterials to biological systems. Achieving this goal will be challenging yet highly rewarding. To make it happen, we will be working in close collaboration with the Nanophotonics
-
Liefvoort. For questions about this particular research project, please contact Cécile de Morrée. Would you like to learn more about what it’s like to pursue a PhD at Radboud University? Visit the page about
-
of the collaborating Post Doc, we aim to unlock innovations allowing for cell capacities up to 4 kWh and discharge durations of up to 100 hours. Where to apply Website https://www.academictransfer.com/en/jobs/359565/phd
-
your work is inherently collaborative. You will spend a dedicated time at the Amsterdam Medical Center (AMC) with Prof. Ed van Bavel. There, you will learn to perform blood flow perfusion experiments in
-
-scale compound drivers. We will leverage machine learning methods to bridge the gap between drivers at coarse model resolutions and impacts captured by high-resolution observations. Job description Arctic
-
closely related field. Solid background in machine learning. Strong programming skills for machine learning. Enthusiastic and motivated in application inspired ML research Interest in collaborating with