Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- NTNU Norwegian University of Science and Technology
- Eindhoven University of Technology (TU/e)
- NTNU - Norwegian University of Science and Technology
- Delft University of Technology (TU Delft)
- Wrocław University of Science and Technology
- Graz University of Technology
- Grenoble INP - Institute of Engineering
- Lulea University of Technology
- Luleå University of Technology
- Blekinge Institute of Technology
- Karlsruhe Institute of Technology •
- Luxembourg Institute of Science and Technology
- Silesian University of Technology
- Wageningen University & Research
- 4 more »
- « less
-
Field
-
knowledge for a better world. You will find more information about working at NTNU and the application process here. About the position We have a vacancy for a PhD candidate in machine learning
-
of tax data. Core goals include creating a semantic repository for storing and indexing tax documents, designing machine learning algorithms to represent data in embedding spaces, and building tools
-
of tax data. Core goals include creating a semantic repository for storing and indexing tax documents, designing machine learning algorithms to represent data in embedding spaces, and building tools
-
of tax data. Core goals include creating a semantic repository for storing and indexing tax documents, designing machine learning algorithms to represent data in embedding spaces, and building tools
-
, or computer science. Core competencies: solid background in quantum many-body physics strong programming skills (Python required, Rust a plus) experience with tensor networks, variational Monte-Carlo, machine learning
-
, calorimetry, and synchrotron experimental measurement techniques. Knowledge of AI-based and machine-learning methods is also beneficial. For further information about a specific subject see General syllabus
-
want to develop machine learning approaches that not only withstand adverse conditions but actively learn from their own failures – and can you back those systems with rigorous formal guarantees? We
-
doctoral degree Collect, structure and assess relevant sensor, operational, maintenance, incident and cost data Develop and validate statistical, causal and/or machine-learning methods and turn the results
-
system integrates robotics, automated sample handling, sensor networks, imaging systems, cloud computing, and machine-learning-based analytics. The research work at NTNU will focus particularly
-
, micro-CT, particle size analysis, calorimetry, and synchrotron experimental measurement techniques. Knowledge of AI-based and machine-learning methods is also beneficial. For further information about a