101 machine-learning-modeling-"Linnaeus-University" Postdoctoral positions in Netherlands
Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- University of Groningen
- Delft University of Technology (TU Delft)
- Delft University of Technology (TU Delft); Delft
- European Space Agency
- University of Twente
- Utrecht University
- Eindhoven University of Technology (TU/e)
- Leiden University
- Radboud University
- University of Twente (UT)
- CWI
- Max Planck Institute (MPI) for Psycholinguistics
- Wageningen University & Research
- Wageningen University and Research Center
- Eindhoven University of Technology (TU/e); Eindhoven
- Erasmus University Rotterdam
- NIOZ Royal Netherlands Institute for Sea Research
- University of Amsterdam (UvA)
- University of Amsterdam (UvA); Amsterdam
- University of Twente (UT); Enschede
- KNAW
- Leiden University; 's-Gravenhage
- Maastricht University (UM)
- Maastricht University (UM); Maastricht
- Nature Careers
- Princess Máxima Center for Pediatric Oncology; Utrecht
- Radboud University Medical Center (Radboudumc)
- Radboud University; Nijmegen
- The Netherlands Cancer Institute
- The Netherlands Cancer Institute; Amsterdam
- Tilburg University
- Tilburg University; Tilburg
- University of Groningen; Groningen
- Vrije Universiteit Amsterdam (VU)
- Vrije Universiteit Amsterdam (VU); Amsterdam
- Wageningen University & Research; Wageningen
- 26 more »
- « less
-
Field
-
(analysis/ geometry), applieddifferential geometry and machine learning;•Solid publication record in image analysis, scientific computing or machine learning.•Knowledge and practical experience in at least 3
-
preferably start around 01-12-2025 and requires knowledge of geometric image processing and machine learning. Information As Post-doctoral Researcher within VICI Project "Geometric Learning for Image Analysis
-
. The employment of machine learning techniques for guidance, navigation and control functions for increased autonomy on board with respect to environmental or modelling disturbances or mission-critical phases (also
-
wide range of resources and is mostly not publicly available. While sharing proprietary data to train machine learning models is not an option, training models on multiple distributed data sources
-
wide range of resources and is mostly not publicly available. While sharing proprietary data to train machine learning models is not an option, training models on multiple distributed data sources
-
within a cross-functional team, including software developers, electrical and mechanical engineers. Experience and strong understanding of machine learning algorithms, mathematical modelling, and
-
-informed machine learning) and integrating uncertainty quantification into these workflows. You are familiar with environmental or soil science applications (e.g., carbon, nitrogen, biomass modelling). You
-
Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Bring segregation theory and models to industrial practise. Job
-
learning Deep learning model generalisation techniques Translating deep learning models into clinical settings Experience developing deep learning models for real-time image/video segmentation, object
-
-based knowledge with machine learning. You will work closely with the Utrecht University team and OpenGeoHub together with other project partners, to develop and implement surrogate and hybrid modelling