Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Delft University of Technology (TU Delft)
- Leiden University
- Eindhoven University of Technology (TU/e)
- Delft University of Technology (TU Delft); yesterday published
- Erasmus University Rotterdam
- Delft University of Technology (TU Delft); Delft
- Utrecht University
- Delft University of Technology (TU Delft); Published yesterday
- Eindhoven University of Technology (TU/e); Eindhoven
- Leiden University; Leiden
- University of Amsterdam (UvA)
- University of Twente (UT)
- Wageningen University & Research
- Delft University of Technology (TU Delft); 17 Oct ’25 published
- Leiden University; today published
- Radboud University
- Vrije Universiteit Amsterdam (VU)
- Vrije Universiteit Amsterdam (VU); Published today
- AMOLF
- Amsterdam UMC
- CWI
- Delft University of Technology (TU Delft); 3 Oct ’25 published
- Delft University of Technology (TU Delft); today published
- Maastricht University (UM)
- Maastricht University (UM); 3 Oct ’25 published
- Maastricht University (UM); yesterday published
- University of Amsterdam (UvA); Amsterdam
- University of Amsterdam (UvA); yesterday published
- University of Twente
- University of Twente (UT); Enschede
- University of Twente (UT); today published
- Utrecht University; Utrecht
- Utrecht University; Published yesterday
- Vrije Universiteit Amsterdam
- Wageningen University and Research Center
- 25 more »
- « less
-
Field
-
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
-
this PhD project, you will: investigate cardiovascular function and risk factors in critically ill patients using electrocardiograms (ECGs) and computed tomography (CT) data from a very large (> 20,000 ICU
-
, 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
-
theory, discrete optimization and machine learning. In this PhD position you will focus on strain-aware genome assembly, variant calling and strain abundance quantification for viruses, bacteria and yeasts
-
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
-
developing intelligent algorithms that can support repair and remanufacturing decisions for sustainable manufacturing? As a PhD researcher, you will create innovative machine learning solutions to optimize
-
work in our multi-disciplinary team, including AI-experts, MRI-physics experts, and clinical experts. You will conduct new academic research combining machine learning and medical physics. Your research
-
predictive optimization, behavioral modeling and machine learning. There is vivid interaction within the group to foster collaboration both with scientific and social activities. The PhD candidate will also
-
Machine Learning, and has over 30 PhD students, postdoctoral researchers and faculty members working on a broad variety of deep learning, computer vision, and foundation model subjects, like self-supervised
-
& Image Sense lab (VIS lab), at the University of Amsterdam. VIS lab is a world-leading lab on Computer Vision and Machine Learning, and has over 30 PhD students, postdoctoral researchers and faculty