Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Eindhoven University of Technology (TU/e)
- University of Amsterdam (UvA)
- Delft University of Technology (TU Delft)
- Utrecht University
- University of Twente
- University of Twente (UT)
- Erasmus University Rotterdam
- Leiden University
- Vrije Universiteit Amsterdam (VU)
- Wageningen University & Research
- Tilburg University
- Radboud University
- Amsterdam UMC
- DIFFER
- Delft University of Technology (TU Delft); Published yesterday
- European Space Agency
- University Medical Center Utrecht (UMC Utrecht)
- University of Amsterdam (UvA); Published yesterday
- Wageningen University and Research Center
- ;
- DIFFER; Published yesterday
- Leiden University; Published today
- Maastricht University (UM)
- NIOZ Royal Netherlands Institute for Sea Research
- Princess Máxima Center for Pediatric Oncology
- The Netherlands Cancer Institute
- University Medical Center Groningen
- University of Amsterdam (UvA); Published 28 Nov ’25
- University of Amsterdam (UvA); Published today
- Utrecht University; Published yesterday
- Vrije Universiteit Amsterdam
- 21 more »
- « less
-
Field
-
is made for you! Information We invite highly motivated students with a strong background in mathematical control theory, and a keen interest in machine learning to apply for the PhD position within
-
machine learning packages (e.g.PyTorch). Completed academic courses in AI or machine learning. Interest in societal, ethical and philosophical questions. We consider it an advantage if you bring one or more
-
the next generation of managers as they investigate the opportunities presented by data analytics (machine learning, deep learning, data mining) and new information technologies (platforms, cloud computing
-
to effective human video perception. What you will do The PhD student is responsible for helping achieve the objectives outlined above. The ideal candidate for this position has a strong background in machine
-
, Introduction to Python, making figures using GGplot2 and basic machine learning. These courses are offered to PhD candidates through the PhD Course Centre of the Graduate School of Life Sciences . In
-
FPGAs, CGRAs, and many Machine Learning accelerators, offer significant opportunities for improving performance and energy efficiency compared to traditional CPUs/GPUs. Yet, porting and optimizing code
-
. This PhD position focuses on the design of novel computer architectures to enable large AI models to run on embedded and edge systems under strict timing, energy, and memory constraints. Current solutions
-
adaptation, synthetic data generation, and cross-modal learning to enable models that generalize across defect types and machine configurations. This ensures scalable, accurate defect detection even in low
-
required for this post. A PhD is desirable. Additional requirements Additional assets for this position are: experience in machine learning engineering and related tooling; experience with European cloud
-
parallel, it produces new, high-resolution computer models of the warm Last Interglacial period. Finally, PAST creates new knowledge by synthesising these two approaches through advanced statistics. This PhD