Sort by
Refine Your Search
-
Listed
-
Employer
- Leiden University
- Leiden University; Leiden
- Wageningen University & Research
- Wageningen University and Research Center
- University of Groningen
- Delft University of Technology (TU Delft)
- Delft University of Technology (TU Delft); Delft
- Eindhoven University of Technology (TU/e); today published
- Maastricht University (UM)
- Maastricht University (UM); Maastricht
- University of Amsterdam (UvA)
- University of Twente (UT)
- Utrecht University
- Vrije Universiteit Amsterdam (VU)
- CWI
- Eindhoven University of Technology (TU/e)
- Erasmus MC (University Medical Center Rotterdam)
- Leiden University; today published
- Maastricht University (UM); 26 Sep ’25 published
- Maastricht University (UM); today published
- Radboud University
- The Open Universiteit (OU)
- Universiteit van Amsterdam
- University Medical Center Utrecht (UMC Utrecht)
- University Medical Centre Groningen (UMCG)
- University Medical Centre Groningen (UMCG); Groningen
- University of Amsterdam (UvA); Amsterdam
- University of Amsterdam (UvA); today published
- University of Amsterdam (UvA); yesterday published
- Wageningen University & Research; today published
- 20 more »
- « less
-
Field
-
computer systems. The modeling, analysis and optimization of the extra-functional aspects of these systems, such as performance, power/energy consumption, thermals, reliability, security or verifiability but
-
, partly due to a lack of reliable predictors of transplantation outcomes. The ADORABLE consortium aims to develop an advanced, data-driven assessment system for donor kidneys. Central to this is the use
-
trade-offs and maximizes synergies between landscape services. In this PhD project you will develop this innovative theory and combine spatial analysis with a Research Through Design approach. You first
-
develop this innovative theory and combine spatial analysis with a Research Through Design approach. You first explore promising synergies in landscape services provision and analyse how to optimally align
-
. In this PhD-project, you will propose and evaluate new AI methodology to ensure that organoid data can be used to optimally predict relevant patient outcomes. You will use a real-world case study on
-
The PhD position is part the prestigious POLARIS (Pathway towards Opportunities for Large scale Applications of Radically Integrated Systems) project. Polaris is a large flagship program (funded by
-
backgrounds. The Faculty external link has six departments: Biology, Pharmaceutical Sciences, Information & Computing Sciences, Physics, Chemistry and Mathematics. Together, we external link work on excellent
-
to run on this new generation of equipment – which of course includes AI. Meanwhile we are pushing the limits of applied mathematics, for example mapping out disease processes using single cell data, and
-
Engineering, Mathematics and Computer Science (EEMCS) brings together three scientific disciplines. Combined, they reinforce each other and are the driving force behind the technology we all use in our daily
-
Do you want to help us make AI more efficient for medicine? If the answer is yes, please continue reading! Join our team! We are looking for a PhD student to work on the topic of shape analysis