Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Delft University of Technology (TU Delft)
- Radboud University
- Eindhoven University of Technology (TU/e)
- Delft University of Technology (TU Delft); Delft
- Leiden University
- University of Groningen
- University of Amsterdam (UvA)
- University of Twente (UT)
- Maastricht University (UM)
- Delft University of Technology (TU Delft); today published
- Delft University of Technology (TU Delft); yesterday published
- Eindhoven University of Technology (TU/e); Eindhoven
- Leiden University; Leiden
- University of Amsterdam (UvA); Amsterdam
- Utrecht University
- Wageningen University & Research
- AMOLF
- CWI
- Leiden University; today published
- Maastricht University (UM); Maastricht
- University of Amsterdam (UvA); yesterday published
- Vrije Universiteit Amsterdam (VU)
- Wageningen University and Research Center
- Amsterdam UMC
- Amsterdam UMC; today published
- Delft University of Technology (TU Delft); 3 Oct ’25 published
- Eindhoven University of Technology (TU/e); today published
- Elestor BV
- Erasmus MC (University Medical Center Rotterdam)
- Erasmus MC (University Medical Center Rotterdam); Rotterdam
- Maastricht University (UM); 3 Oct ’25 published
- Maastricht University (UM); yesterday published
- Radboud University Medical Center (Radboudumc)
- Radboud University Medical Center (Radboudumc); Nijmegen
- Radix Trading LLC
- Royal Netherlands Academy of Arts and Sciences (KNAW)
- Universiteit van Amsterdam
- University Medical Center Utrecht (UMC Utrecht)
- University Medical Center Utrecht (UMC Utrecht); yesterday published
- University Medical Centre Groningen (UMCG)
- University Medical Centre Groningen (UMCG); Groningen
- University of Twente
- University of Twente (UT); Enschede
- Utrecht University; Utrecht
- 34 more »
- « less
-
Field
-
explore how artificial intelligence can be used to predict the response to therapy in cases of acute rejection of the kidney graft. Using machine-learning techniques, you will assess kidney transplant
-
expert knowledge in a reusable format. Numerical Representation, Develop numerical representations of ship designs that are interpretable by machine learning algorithms and suitable for generative ai model
-
quantitative modeling; Strong expertise in programming, including proficiency in languages commonly used in data analysis and machine learning, such as Python; Excellent verbal and written communication skills
-
expertise in the field of prediction modeling, longitudinal data analysis, statistics, data science, machine learning, AI, organoid models and cystic fibrosis. The supervisory team will consist of dr. Maarten
-
such as malicious advertising, digital skimming and stealthy online tracking. By leveraging recent advances in machine learning and browser automation, the project aims to provide tools, techniques and
-
PhD candidate, you will contribute to both aspects, from studying the brain’s control of movement to applying these insights in the development of closed-loop brain–computer interfaces aimed
-
opportunity to tackle these two complementary perspectives. In the first direction, you will develop advanced system identification techniques that combine nonlinear dynamics theory with machine learning tools
-
in team work and collaborations with other PhD candidates, both in the group and internationally. You have a genuine multidisciplinary interest in the intersection of machine learning and neuroscience
-
, materials science, or computer science with an interest in complex materials for computing and learning. Excellent candidates with training in any area of science or engineering will be considered. PhD
-
scans and use advanced data-driven methods, including artificial intelligence (AI) and machine learning to improve outcome prediction and patient stratification. deepen our understanding of the etiology