Sort by
Refine Your Search
-
Listed
-
Employer
- Delft University of Technology (TU Delft)
- Leiden University
- Delft University of Technology (TU Delft); yesterday published
- Eindhoven University of Technology (TU/e)
- Delft University of Technology (TU Delft); Delft
- Erasmus University Rotterdam
- Maastricht University (UM)
- Radboud University
- Utrecht University
- Leiden University; Leiden
- University of Amsterdam (UvA)
- University of Twente (UT)
- Vrije Universiteit Amsterdam (VU)
- AMOLF
- Delft University of Technology (TU Delft); today published
- Eindhoven University of Technology (TU/e); Eindhoven
- Leiden University; today published
- Maastricht University (UM); Maastricht
- Maastricht University (UM); yesterday published
- University Medical Center Utrecht (UMC Utrecht)
- University of Amsterdam (UvA); Amsterdam
- University of Amsterdam (UvA); yesterday published
- University of Groningen
- University of Twente
- Wageningen University & Research
- CWI
- Delft University of Technology (TU Delft); 17 Oct ’25 published
- Delft University of Technology (TU Delft); 3 Oct ’25 published
- Eindhoven University of Technology (TU/e); yesterday published
- Elestor BV
- Erasmus MC (University Medical Center Rotterdam)
- Leiden University; yesterday published
- Maastricht University (UM); 3 Oct ’25 published
- Radboud University Medical Center (Radboudumc)
- Royal Netherlands Academy of Arts and Sciences (KNAW)
- Tilburg University
- Universiteit van Amsterdam
- University Medical Center Utrecht (UMC Utrecht); Published 31 Oct ’25
- University Medical Center Utrecht (UMC Utrecht); yesterday published
- University Medical Centre Groningen (UMCG)
- University Medical Centre Groningen (UMCG); Groningen
- University of Amsterdam (UvA); 10 Oct ’25 published
- University of Twente (UT); today published
- Wageningen University and Research Center
- 34 more »
- « less
-
Field
-
cell (and one cell–cell interaction) at a time. You will work with large-scale single-cell and spatial transcriptomics data to develop and apply single-cell foundation models — generative machine
-
the Netherlands with both scholars focusing on developing and applying state-of-the-art methodologies from the fields of statistics, economics, and machine learning, as well as scholars focusing on consumer
-
identification and machine learning. The key challenge is striking a balance between, on the one hand, modelling the physical, dynamic and nonlinear behavior of the components with sufficient physical accuracy
-
cell (and one cell–cell interaction) at a time. You will work with large-scale single-cell and spatial transcriptomics data to develop and apply single-cell foundation models — generative machine
-
University Medical Center Utrecht (UMC Utrecht); yesterday published | Netherlands | about 1 month ago
, epidemiologists, clinicians and lab researchers, with expertise in the field of prediction modeling, longitudinal data analysis, statistics, data science, machine learning, AI, organoid models and cystic fibrosis
-
, or related field; Solid background in machine learning, deep learning and foundation models such as Large Language Models; Strong programming skills (Python/C++); Proven interest in generative models
-
, or related field; Solid background in machine learning, deep learning and foundation models such as Large Language Models; Strong programming skills (Python/C++); Proven interest in generative models
-
each other. This necessitates a multidisciplinary approach bringing together optimization, machine learning and behavioral modeling methodologies. In FlexMobility we propose a holistic approach to design
-
enhance real-time decision-making in road traffic management. The project aims to bridge the gap between recent advances in AI and machine learning, in particular, multimodal and instruction-tuned
-
of perceptual foundation models, using advances in deep machine learning and computer vision. The goal is to invent, develop and evaluate novel methods for pre-training and fine-tuning of perceptual foundation