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 Amsterdam (UvA); Published today
- University of Twente (UT); today published
- Wageningen University and Research Center
- 35 more »
- « less
-
Field
-
will include boosted final states. The analysis strategy is strongly focused on advanced machine learning techniques, developing attention-based transformer models that will directly classify events from
-
the phenomena Identifying the fundamental variables and relationships that are most important to studying the phenomena and formalizing them in a measurement model or set of experimental hypotheses Gathering
-
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
-
of the global supply chain. Most ways to model the stochasticity involve introducing nonlinear terms in the mathematical formulation. It is your goal to investigate how well machine learning methodology can be
-
to design targeted marketing campaigns. Causal Machine Learning is an emerging research field that can learn the causal effect of an intervention and how it varies within a population based on a large set of
-
and early intervention strategies. Your responsibilities will include: Developing and validating a machine learning prediction model for CP and related outcomes using neonatal MRI, EEG, GMA, HINE, and
-
validating a machine learning prediction model for CP and related outcomes using neonatal MRI, EEG, GMA, HINE, and clinical data. Coordinating patient inclusion, data collection, and analysis across multiple
-
to: Development of computer models of the musculoskeletal system incorporating neural control pathways Train NMS model control policies via RL Your seconday tasks will include: Using learned NMS model control
-
We’re seeking for motivated candidates that are interested in developing computer models of the composite human neuro-muscular system that combine detailed musculoskeletal geometries, muscle-tendon
-
boundaries of system-level modelling, analysis, design, exploration and synthesis beyond the current state-of-the-art? Or are you curious to learn more about the application of AI for system diagnostics and