Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Delft University of Technology (TU Delft)
- Utrecht University
- Amsterdam UMC
- University of Amsterdam (UvA)
- Eindhoven University of Technology (TU/e)
- University of Groningen
- Radboud University
- Wageningen University & Research
- Maastricht University (UM)
- University of Twente (UT)
- University of Twente
- Leiden University
- KNAW
- Centrum Wiskunde en Informatica (CWI)
- HFML-FELIX
- Hotelschool The Hague
- AMOLF
- Erasmus University Rotterdam
- Erasmus University Rotterdam (EUR)
- Radboud University Medical Center (Radboudumc)
- Royal Netherlands Academy of Arts and Sciences (KNAW)
- Sanquin Blood Supply Foundation (Sanquin)
- University Medical Centre Groningen (UMCG)
- 13 more »
- « less
-
Field
-
thermoplastic composite joints. Since there are currently no well-established standards for fatigue testing of these joints, the project will involve developing experimental methods to reliably characterize
-
into requirements for the design and implementation of the photonic WDM switch architecture and fast control. Investigate the photonic technologies to fabricate the switches. Design, simulate, fabricate and test the
-
on electrical and calorimetric efficiency measurement has the primary emphasis of: measurement-system design, sensor characterization, uncertainty analysis, converter testing and calorimeter development. The best
-
September 2026 Apply now How much does epigenetic variation contribute to rapid adaptation? This PhD at Utrecht University uses CRISPR/Cas9 and SunTag-based epigenomic editing in apomictic dandelions to test
-
)catalysts for synthetic applications. By seamlessly merging cutting-edge directed evolution, next-generation sequencing, and deep learning approaches, you will establish accelerated Design-Build-Test-Learn
-
behaviour and to examine how these differences relate to learning in the classroom. A central aim is to translate insights from fundamental research on curiosity into educational practice. You will design and
-
laboratory for evaluation of test-chips. We offer a very collaborative atmosphere and you will benefit from our broad knowledge and experience. A team of well-known professors in the field (professors Bram
-
demonstrable experience with programming in Python and implementing statistical or machine learning algorithms. You have experience with software development practices such as testing and version control with
-
. Establishing rigorous theoretical guarantees for convergence and scalability of the proposed learning algorithms. Extending the theory from analog circuits to more general dissipative networks. Testing and
-
behavior and selective molecular interactions. You will then integrate these coatings into table-top test setups for electrochemical separation and cleaning-in-place processes and investigate how