Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Delft University of Technology (TU Delft)
- NTNU - Norwegian University of Science and Technology
- NTNU Norwegian University of Science and Technology
- Eindhoven University of Technology (TU/e)
- Queensland University of Technology
- Wrocław University of Science and Technology
- Graz University of Technology
- Grenoble INP - Institute of Engineering
- Lulea University of Technology
- Luleå University of Technology
- Luxembourg Institute of Science and Technology
- Technical University of Munich
- Tilburg University
- University of Luxembourg
- Blekinge Institute of Technology
- Chalmers University of Technology
- ETH Zürich
- Karlsruhe Institute of Technology •
- Kurt Schwabe Institute for Measuring and Sensor Technology e.V. (KSI) Meinsberg
- Luxembourg Institute of Science and Technology (LIST)
- Norwegian University of Life Sciences (NMBU)
- Rochester Institute of Technology
- Silesian University of Technology
- Swansea University
- Swinburne University of Technology
- University of Birmingham
- University of Warwick
- Wageningen University & Research
- 18 more »
- « less
-
Field
-
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
-
Are you fascinated by how machine learning can enhance control without compromising safety or stability? As a PhD candidate, you will develop scalable methods for expressive and flexible neural
-
related field with a strong quantitative focus. Strong programming skills in Python and demonstrated experience with machine deep learning frameworks (for instance, PyTorch or TensorFlow), preferably
-
, 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
-
WDM switches and the fast control to enable novel low latency highly scalable and flat interconnect AI compute clusters. Machine learning clusters and artificial intelligence (AI) training have become
-
, 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
-
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
-
, and machine-learning-based analytics. The research work at NTNU will focus particularly on automation, robotics, mechatronic design, sensor integration, and intelligent experimental systems required
-
, or supervised/unsupervised learning depending on the available data) using spatial analysis and geographic machine learning tools (e.g., scikit-learn, PyTorch/TF + GeoPandas/Shapely) - Implementing a semantic