Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- University of Groningen
- European Space Agency
- Utrecht University
- University of Twente
- Wageningen University and Research Center
- Delft University of Technology (TU Delft)
- Delft University of Technology (TU Delft); Delft
- University of Twente (UT)
- CWI
- Erasmus University Rotterdam
- Leiden University
- Radboud University
- Eindhoven University of Technology (TU/e)
- University of Twente (UT); Enschede
- Eindhoven University of Technology (TU/e); Eindhoven
- KNAW
- Maastricht University (UM)
- Maastricht University (UM); Maastricht
- Nature Careers
- The Netherlands Cancer Institute
- The Netherlands Cancer Institute; Amsterdam
- Vrije Universiteit Amsterdam (VU); Amsterdam
- Wageningen University & Research
- 13 more »
- « less
-
Field
-
learning models for real-time image and video analysis (e.g., segmentation, object tracking, reinforcement learning), with applications to medical imaging and robotic systems. In this role, you will
-
: Deep learning Medical image computing (preferably x-ray imaging) Computationally efficient deep learning Deep learning model generalisation techniques Translating deep learning models into clinical
-
and data acquisition. Collaborate with EXIT071 to advance dzITP technology for diagnostic and drug discovery applications. Optionally mentor or collaborate with MSc and PhD students involved in
-
are looking for candidates with: A PhD in Operations Research, Applied Mathematics, Mathematics, Engineering, or a related field. A background in logistics (preferred). Strong writing and presentation skills in
-
. Our work supports the health assessment of marine mammal populations and informs conservation efforts for the North Sea ecosystem. Your research will cover key topics such as disease, reproductive
-
research engineer with a passion for innovation and strong inter-disciplinary skills; PhD degree in Instrument or Analytical Engineering, Mechanical Engineering, Biomedical Engineering, Systems Engineering
-
conducting lifetime modeling, developing advanced condition monitoring techniques, and applying data-driven analytics for lifetime prediction. You will play a central role in integrating experimental insights
-
in combination with other machine learning techniques, to create predictive models. You will engage in an interactive feedback loop with domain experts to analyze discovered models and remove any
-
Organisation Job description A postdoc position in computational social choice for AI Safety is available at the Bernoulli Institute for Mathematics, Computer Science and Artificial Intelligence
-
. Qualifications PhD in Computer Science, Economics, Mathematics, or a closely related dis-cipline. Strong background in computational social choice, algorithmic game theory, or AI safety. Excellent research track