Sort by
Refine Your Search
-
Listed
-
Employer
- University of Groningen
- University of Twente
- Utrecht University
- Leiden University
- Radboud University
- CWI
- Wageningen University and Research Center
- Erasmus University Rotterdam
- Eindhoven University of Technology (TU/e)
- University of Twente (UT)
- Delft University of Technology (TU Delft)
- Delft University of Technology (TU Delft); Delft
- University of Twente (UT); Enschede
- KNAW
- Leiden University; Leiden
- Radboud University; Nijmegen
- Vrije Universiteit Amsterdam (VU)
- Delft University of Technology
- Erasmus MC (University Medical Center Rotterdam)
- Erasmus MC (University Medical Center Rotterdam); Rotterdam
- Radboud University Medical Center (Radboudumc); Nijmegen
- Tilburg University; Tilburg
- University of Amsterdam
- University of Amsterdam (UvA)
- University of Amsterdam (UvA); Amsterdam
- University of Groningen; Groningen
- 16 more »
- « less
-
Field
-
lengthy processing times associated with sequencing. This PhD project aims to develop innovative artificial intelligence (AI) methodologies by integrating histopathology images and RNA sequencing data
-
fail to reach those most in need. To develop equitable and effective policy tools, further research is needed on the contexts, compositions, and mechanisms of retrofits, as well as a deeper understanding
-
advancements, population and economic trends, and their future developments come with deep uncertainties. Infrastructure policies must account for these uncertain drivers and their dynamic interaction with
-
New LHC Triggers’, which is funded by the Dutch Research Council (NWO). The main goal of this project is to develop theory predictions and new searches for dark matter bound states in the ATLAS
-
transition. International research echoes this concern, noting that retrofit programs frequently fail to reach those most in need. To develop equitable and effective policy tools, further research is needed
-
New LHC Triggers’, which is funded by the Dutch Research Council (NWO). The main goal of this project is to develop theory predictions and new searches for dark matter bound states in the ATLAS
-
nanotechnology, photonics, biotechnology, synthetic biology and materials for energy storage and conversion, our faculty aims to provide solutions to important problems of the 21st century. To that end, we educate
-
), International Master in Management of IT (IMMIT) and MSc Supply Chain Management (SCM). In addition, the Department houses Ph.D. programs, which prepare researchers for productive academic careers with excellent
-
fidelity. In this PhD, you will help develop these next-generation tools. We are seeking a highly motivated PhD candidate to strengthen our research. Your research will focus on the development of numerical
-
trends, and their future developments come with deep uncertainties. Infrastructure policies must account for these uncertain drivers and their dynamic interaction with changes in intended use. As part of