Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Delft University of Technology (TU Delft)
- Delft University of Technology (TU Delft); Delft
- European Space Agency
- University of Twente
- Eindhoven University of Technology (TU/e)
- Radboud University
- University of Twente (UT)
- Max Planck Institute (MPI) for Psycholinguistics
- Delft University of Technology (TU Delft); yesterday published
- Eindhoven University of Technology (TU/e); Eindhoven
- University of Amsterdam (UvA)
- University of Groningen
- Utrecht University
- CWI
- Eindhoven University of Technology (TU/e); today published
- Erasmus MC (University Medical Center Rotterdam)
- Erasmus MC (University Medical Center Rotterdam); today published
- Maastricht University (UM)
- Maastricht University (UM); yesterday published
- Max Planck Institute for Psycholinguistics
- Max Planck Institute for Psycholinguistics; today published
- Radboud University Medical Center (Radboudumc); today published
- Radboud University; 3 Oct ’25 published
- The Netherlands Cancer Institute
- The Netherlands Cancer Institute; Amsterdam
- Tilburg University
- Tilburg University; Tilburg
- Tilburg University; today published
- University Medical Center Utrecht (UMC Utrecht)
- University Medical Center Utrecht (UMC Utrecht); yesterday published
- University of Amsterdam (UvA); Amsterdam
- University of Amsterdam (UvA); 26 Sep ’25 published
- Wageningen University & Research
- 23 more »
- « less
-
Field
-
) for engineering systems and structures, as well as expertise in machine learning, stochastic modeling, and Bayesian statistics. Programming Skills: Proficiency in programming languages such as Python, C, or R
-
degree in engineering, mathematics, or a related field, with a strong background in prognostics and health management (PHM) for engineering systems and structures, as well as expertise in machine learning
-
partners to reduce CO2 emissions in steel production using machine learning. You can find more information here . You will work on a theoretical and an applied project on data-enhanced physical reduced order
-
strategies (e.g. predictive or machine learning approaches) to improve performance and reduce costs. Collaborating with industrial partners on design optimization, life-cycle analysis, and business case
-
Village to calibrate and validate models. Investigating control strategies (e.g. predictive or machine learning approaches) to improve performance and reduce costs. Collaborating with industrial partners
-
light/heating modules, and selection and sorting routines. Guided by machine learning, we will perform directed evolution experiments where we optimize the synthetic genome that encodes for a biological
-
applications* in close collaboration with other discipline experts (software, microelectronics and applications engineers). * except for RF payloads. ** including artificial intelligence and machine learning
-
integrates OLA production of liposomes, trap arrays, local light/heating modules, and selection and sorting routines. Guided by machine learning, we will perform directed evolution experiments where we
-
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