92 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" positions in Netherlands
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)
- University of Twente (UT)
- European Space Agency
- Leiden University
- Vrije Universiteit Amsterdam (VU)
- Wageningen University & Research
- Tilburg University
- Utrecht University
- University Medical Center Utrecht (UMC Utrecht)
- Amsterdam UMC
- DIFFER
- AMOLF
- Erasmus University Rotterdam
- Holomicrobiome Institute
- NIOZ Royal Netherlands Institute for Sea Research
- Nature Careers
- Princess Máxima Center for Pediatric Oncology
- Radboud University
- University Medical Center Groningen
- University of Twente
- 12 more »
- « less
-
Field
-
to the adaptation of the Environmental Noise Directive for these new technologies. Your main focus will be to develop machine learning-based drone noise models that will be able to generate an accoustic footprint
-
, the fusion community has started to develop fast surrogate models based on Machine Learning / AI models to speed up significantly the employed tools. Such tools have demonstrated to be generally applicable and
-
Machine Learning, Computer Science, Mathematics, Statistics, Physics or a closely related field and want to join the mission of unlocking the “geometry of artificial intelligence” then come join us! Join us
-
for this position, the following is required: PhD in data or computer science, machine learning, AI, statistics, mathematics, biophysics, bioinformatics. Additional requirements In addition to your CV and your
-
language processing, and more. We own and operate the entire technology stack for Machine Learning Operations. This ensures that the models we build translate into secure, reliable, and actionable outcomes across
-
sciences, law, and philosophy. Four WPs address citizen-empowerment-scenarios (CES) in healthcare, mobility, public governance, and healthy living. Each PhD position is embedded in one work package and
-
to develop new methods, for example using machine learning. have a proven track record of independent research funding and high quality publications. have at least 5 years of post-PhD work experience
-
Mathematics (Inverse Problems), Computer Science (Machine Learning, Computer Vision, Efficient Algorithms and High-Performance Computing), and Physics (Image Formation Modelling). Your project is part of
-
Mathematics (Inverse Problems), Computer Science (Machine learning, Efficient Algorithms and High-Performance Computing), and Physics (Image Formation Modelling). Your project is part of the NXTGen High-tech
-
and digitizing archival data, strong knowledge of causal inference methods, good command of R and Python. Knowledge of machine learning methods is an asset. Strong command of English; command of either