Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Utrecht University
- Delft University of Technology (TU Delft)
- Eindhoven University of Technology (TU/e)
- University of Twente
- University of Amsterdam (UvA)
- Vrije Universiteit Amsterdam (VU)
- Wageningen University & Research
- Maastricht University (UM)
- University of Twente (UT)
- Leiden University
- Erasmus University Rotterdam
- KNAW
- Tilburg University
- University Medical Center Utrecht (UMC Utrecht)
- Amsterdam UMC
- Erasmus MC (University Medical Center Rotterdam)
- Radboud University Medical Center (Radboudumc)
- Wetsus - European centre of excellence for sustainable water technology
- ;
- DIFFER
- Erasmus University Rotterdam (EUR)
- NIOZ Royal Netherlands Institute for Sea Research
- NLR
- University Medical Centre Groningen (UMCG)
- University of Groningen
- 15 more »
- « less
-
Field
-
, artificial intelligence, and its applications to large scale data domains in science and industry. This includes the development of deep generative models, methods for approximate inference, probabilistic
-
simulation models. Often building on gaming technology, these systems offer an immersive environment where players can explore the real world, adapt it, and inspect simulated effects. Geospatial digital twins
-
project. You will collect, develop and pilot aforementioned methods, in collaboration with a diverse group of stakeholders, including biomedical researchers, patient representatives, model developers
-
: Translate ML-based error-correction / DPD algorithms into hardware-friendly forms (model reduction, sparsity, quantization, fixed-point design). Design the architecture and RTL of a low-power accelerator that
-
within a democratic and regenerative governance model. The project focuses on hybridisation, sustainability, resilience, and democratisation, and provides interdisciplinary training for Doctoral Candidates
-
, 2025). The precise proteins and mechanisms that control transcriptional integrity upon persisting DNA damage are poorly understood. In this project, we will use forward genetic screens in the model
-
, protein-rich cropping systems that improve ecosystem services while minimizing negative impacts on biodiversity and the environment. Develop and parameterize a crop growth model for novel protein crops
-
precipitate into crystalline calcium carbonate (i.e. the shell or skeleton). This project will investigate these two aspects in foraminiferawith the aim to construct a complete model of the calcification
-
whenever needed. An important additional aspect of this project is the creation of samples with defined microstructures to validate the results of parallel PhD projects on modelling. The successful candidate
-
solid background in biomedical engineering. Experience with (electro)physiology and/or mathematical modeling are considered advantageous. Are you the person we are looking for? Submit your application